Luận án Định hướng về việc áp dụng giá trị hợp lý trong kế toán Việt Nam

ia 0.21572 0.07833 2.754 0.00670 ** TSVH.bao.toan.von 0.42830 0.07238 5.918 2.55e-08 *** --- Signif. codes: 0 ‘***’ 0.001 ‘**’ 0.01 ‘*’ 0.05 ‘.’ 0.1 ‘ ’ 1 Residual standard error: 0.6532 on 135 degrees of freedom Multiple R-squared: 0.6983, Adjusted R-squared: 0.6916 F-statistic: 104.2 on 3 and 135 DF, p-value: < 2.2e-16 161ii > hqthichhopNDTTSTC=lm(TSTC.thich.hop~TSTC.gia.hien.tai+TSTC.su.thay.doi.gia +TSTC.bao.toan.von, data=MauNDT) > summary(hqthichhopNDTTSTC) Call: lm(formula = TSTC.thich.hop ~ TSTC.gia.hien.tai + TSTC.su.thay.doi.gia + TSTC.bao.toan.von, data = MauNDT) Residuals: Min 1Q Median 3Q Max -2.31961 -0.08547 0.01040 0.04717 1.41870 Coefficients: Estimate Std. Error t value Pr(>|t|) (Intercept) 0.13668 0.17321 0.789 0.4309 TSTC.gia.hien.tai 0.45905 0.05091 9.018 < 2e-16 *** TSTC.su.thay.doi.gia 0.09587 0.04377 2.191 0.0296 * TSTC.bao.toan.von 0.40831 0.04708 8.673 9.98e-16 *** --- Signif. codes: 0 ‘***’ 0.001 ‘**’ 0.01 ‘*’ 0.05 ‘.’ 0.1 ‘ ’ 1 Residual standard error: 0.5617 on 217 degrees of freedom Multiple R-squared: 0.7012, Adjusted R-squared: 0.6971 F-statistic: 169.7 on 3 and 217 DF, p-value: < 2.2e-16 > hqthichhopDNTSTC=lm(TSTC.thich.hop~TSTC.gia.hien.tai+TSTC.su.thay.doi.gia+ TSTC.bao.toan.von, data=MauDN) > summary(hqthichhopDNTSTC) Call: lm(formula = TSTC.thich.hop ~ TSTC.gia.hien.tai + TSTC.su.thay.doi.gia + TSTC.bao.toan.von, data = MauDN) Residuals: Min 1Q Median 3Q Max -2.27877 -0.03224 0.05755 0.05755 1.87797 Coefficients: Estimate Std. Error t value Pr(>|t|) (Intercept) 0.16693 0.16596 1.006 0.3163 TSTC.gia.hien.tai 0.35356 0.08236 4.293 3.35e-05 *** TSTC.su.thay.doi.gia 0.41592 0.06770 6.144 8.48e-09 *** TSTC.bao.toan.von 0.18562 0.08172 2.272 0.0247 * --- Signif. codes: 0 ‘***’ 0.001 ‘**’ 0.01 ‘*’ 0.05 ‘.’ 0.1 ‘ ’ 1 Residual standard error: 0.4969 on 135 degrees of freedom Multiple R-squared: 0.8201, Adjusted R-squared: 0.8161 F-statistic: 205.1 on 3 and 135 DF, p-value: < 2.2e-16 > t.test(BDSDT.dang.tin.cay~Doi.tuong, data=Mau) 162ii Welch Two Sample t-test data: BDSDT.dang.tin.cay by Doi.tuong t = -0.95567, df = 247.92, p-value = 0.3402 alternative hypothesis: true difference in means is not equal to 0 95 percent confidence interval: -0.3511432 0.1217087 sample estimates: mean in group Doanh nghiep mean in group Nha dau tu 3.251799 3.366516 > wilcox.test(BDSDT.dang.tin.cay ~ Doi.tuong, data=Mau) Wilcoxon rank sum test with continuity correction data: BDSDT.dang.tin.cay by Doi.tuong W = 14416, p-value = 0.3084 alternative hypothesis: true location shift is not equal to 0 > t.test(TSCDHH..dang.tin.cay~Doi.tuong, data=Mau) Welch Two Sample t-test data: TSCDHH..dang.tin.cay by Doi.tuong t = 0.88468, df = 254.45, p-value = 0.3772 alternative hypothesis: true difference in means is not equal to 0 95 percent confidence interval: -0.1361768 0.3583194 sample estimates: mean in group Doanh nghiep mean in group Nha dau tu 3.323741 3.212670 > wilcox.test(TSCDHH..dang.tin.cay ~ Doi.tuong, data=Mau) Wilcoxon rank sum test with continuity correction data: TSCDHH..dang.tin.cay by Doi.tuong W = 16304, p-value = 0.3103 alternative hypothesis: true location shift is not equal to 0 > t.test(TSVH.dang.tin.cay~Doi.tuong, data=Mau) Welch Two Sample t-test data: TSVH.dang.tin.cay by Doi.tuong t = 0.53126, df = 265.53, p-value = 0.5957 alternative hypothesis: true difference in means is not equal to 0 95 percent confidence interval: -0.1770701 0.3079337 sample estimates: mean in group Doanh nghiep mean in group Nha dau tu 2.956835 2.891403 163ii > wilcox.test(TSVH.dang.tin.cay ~ Doi.tuong, data=Mau) Wilcoxon rank sum test with continuity correction data: TSVH.dang.tin.cay by Doi.tuong W = 15620, p-value = 0.7787 alternative hypothesis: true location shift is not equal to 0 > t.test(TSTC.dang.tin.cay~Doi.tuong, data=Mau) Welch Two Sample t-test data: TSTC.dang.tin.cay by Doi.tuong t = 1.7711, df = 264.88, p-value = 0.0777 alternative hypothesis: true difference in means is not equal to 0 95 percent confidence interval: -0.02213814 0.41837500 sample estimates: mean in group Doanh nghiep mean in group Nha dau tu 3.582734 3.384615 > wilcox.test(TSTC.dang.tin.cay ~ Doi.tuong, data=Mau) Wilcoxon rank sum test with continuity correction data: TSTC.dang.tin.cay by Doi.tuong W = 17086, p-value = 0.06049 alternative hypothesis: true location shift is not equal to 0 > sosanhdangtincay=aov(Dang..tin.cay~Khoan.muc,data=Khoanmuc) > summary(sosanhdangtincay) Df Sum Sq Mean Sq F value Pr(>F) Khoan.muc 3 57.8 19.252 16.8 1e-10 *** Residuals 1436 1646.1 1.146 --- Signif. codes: 0 ‘***’ 0.001 ‘**’ 0.01 ‘*’ 0.05 ‘.’ 0.1 ‘ ’ 1 > TukeyHSD(sosanhdangtincay) Tukey multiple comparisons of means 95% family-wise confidence level Fit: aov(formula = Dang..tin.cay ~ Khoan.muc, data = Khoanmuc) $Khoan.muc diff lwr upr p adj TSCDHH-BDSDT -0.06666667 -0.2719190969 0.1385858 0.8376097 TSTC-BDSDT 0.13888889 -0.0663635414 0.3441413 0.3030817 TSVH-BDSDT -0.40555556 -0.6108079858 -0.2003031 0.0000025 TSTC-TSCDHH 0.20555556 0.0003031253 0.4108080 0.0494998 TSVH-TSCDHH -0.33888889 -0.5441413191 -0.1336365 0.0001356 TSVH-TSTC -0.54444444 -0.7496968747 -0.3391920 0.0000000 > sosanhdangtincay2=aov(Dang..tin.cay~Khoan.muc+Doi.tuong, data=Khoanmuc) > summary(sosanhdangtincay2) Df Sum Sq Mean Sq F value Pr(>F) 164ii Khoan.muc 3 57.8 19.252 16.798 9.98e-11 *** Doi.tuong 1 1.4 1.441 1.257 0.262 Residuals 1435 1644.6 1.146 --- Signif. codes: 0 ‘***’ 0.001 ‘**’ 0.01 ‘*’ 0.05 ‘.’ 0.1 ‘ ’ 1 > hqdantincayNDTBDSDT=lm(BDSDT.dang.tin.cay~BDSDT.co.thong.tin+BDSDT.co.nhan .su+BDSDT.pp.khong.phuc.tap+BDSDT.khong.co.dong.co+BDSDT.e.ngai.nha.dau.tu +BDSDT.cac.rao.can, data=MauNDT) > summary(hqdantincayNDTBDSDT) Call: lm(formula = BDSDT.dang.tin.cay ~ BDSDT.co.thong.tin + BDSDT.co.nhan.su + BDSDT.pp.khong.phuc.tap + BDSDT.khong.co.dong.co + BDSDT.e.ngai.nha.dau.tu + BDSDT.cac.rao.can, data = MauNDT) Residuals: Min 1Q Median 3Q Max -2.00418 -0.43928 0.01622 0.43903 2.48677 Coefficients: Estimate Std. Error t value Pr(>|t|) (Intercept) 1.01878 0.20717 4.918 1.74e-06 *** BDSDT.co.thong.tin 0.09519 0.06069 1.568 0.118248 BDSDT.co.nhan.su 0.21360 0.06130 3.484 0.000598 *** BDSDT.pp.khong.phuc.tap -0.03212 0.05833 -0.551 0.582466 BDSDT.khong.co.dong.co -0.10252 0.06123 -1.674 0.095538 . BDSDT.e.ngai.nha.dau.tu 0.24922 0.06587 3.783 0.000201 *** BDSDT.cac.rao.can 0.32385 0.06060 5.344 2.32e-07 *** --- Signif. codes: 0 ‘***’ 0.001 ‘**’ 0.01 ‘*’ 0.05 ‘.’ 0.1 ‘ ’ 1 Residual standard error: 0.7388 on 214 degrees of freedom Multiple R-squared: 0.4255, Adjusted R-squared: 0.4094 F-statistic: 26.42 on 6 and 214 DF, p-value: < 2.2e-16 > hqdantincayDNBDSDT=lm(BDSDT.dang.tin.cay~BDSDT.co.thong.tin+BDSDT.co.nhan. su+BDSDT.pp.khong.phuc.tap+BDSDT.khong.co.dong.co+BDSDT.e.ngai.nha.dau.tu+ BDSDT.cac.rao.can, data=MauDN) > summary(hqdantincayDNBDSDT) Call: lm(formula = BDSDT.dang.tin.cay ~ BDSDT.co.thong.tin + BDSDT.co.nhan.su + BDSDT.pp.khong.phuc.tap + BDSDT.khong.co.dong.co + BDSDT.e.ngai.nha.dau.tu + BDSDT.cac.rao.can, data = MauDN) Residuals: Min 1Q Median 3Q Max -2.73313 -0.62945 0.05675 0.61282 2.94418 Coefficients: 165ii Estimate Std. Error t value Pr(>|t|) (Intercept) 0.79760 0.28713 2.778 0.006270 ** BDSDT.co.thong.tin -0.04099 0.08471 -0.484 0.629309 BDSDT.co.nhan.su 0.32746 0.08945 3.661 0.000363 *** BDSDT.pp.khong.phuc.tap 0.20044 0.07047 2.844 0.005160 ** BDSDT.khong.co.dong.co 0.11049 0.08510 1.298 0.196442 BDSDT.e.ngai.nha.dau.tu 0.04795 0.10324 0.464 0.643072 BDSDT.cac.rao.can 0.17094 0.10634 1.607 0.110348 --- Signif. codes: 0 ‘***’ 0.001 ‘**’ 0.01 ‘*’ 0.05 ‘.’ 0.1 ‘ ’ 1 Residual standard error: 0.9537 on 132 degrees of freedom Multiple R-squared: 0.388, Adjusted R-squared: 0.3602 F-statistic: 13.95 on 6 and 132 DF, p-value: 3.037e-12 > hqdantincayNDTTSCDHH=lm(TSCDHH..dang.tin.cay~TSCDHH.co.thong.tin+TSCDHH.co .nhan.su+TSCDHH.pp.khong.phuc.tap+TSCDHH.khong.co.dong.co+TSCDHH.e.ngai.nh a.dau.tu+TSCDHH.cac.rao.can, data=MauNDT) > summary(hqdantincayNDTTSCDHH) Call: lm(formula = TSCDHH..dang.tin.cay ~ TSCDHH.co.thong.tin + TSCDHH.co.nhan.su + TSCDHH.pp.khong.phuc.tap + TSCDHH.khong.co.dong.co + TSCDHH.e.ngai.nha.dau.tu + TSCDHH.cac.rao.can, data = MauNDT) Residuals: Min 1Q Median 3Q Max -2.6924 -0.4823 0.0075 0.4739 2.2804 Coefficients: Estimate Std. Error t value Pr(>|t|) (Intercept) 0.87825 0.20659 4.251 3.18e-05 *** TSCDHH.co.thong.tin 0.05260 0.06796 0.774 0.440 TSCDHH.co.nhan.su 0.32355 0.07668 4.219 3.62e-05 *** TSCDHH.pp.khong.phuc.tap 0.02159 0.06781 0.318 0.751 TSCDHH.khong.co.dong.co 0.12845 0.08650 1.485 0.139 TSCDHH.e.ngai.nha.dau.tu 0.13420 0.09634 1.393 0.165 TSCDHH.cac.rao.can 0.11817 0.07633 1.548 0.123 --- Signif. codes: 0 ‘***’ 0.001 ‘**’ 0.01 ‘*’ 0.05 ‘.’ 0.1 ‘ ’ 1 Residual standard error: 0.8096 on 214 degrees of freedom Multiple R-squared: 0.398, Adjusted R-squared: 0.3811 F-statistic: 23.58 on 6 and 214 DF, p-value: < 2.2e-16 > hqdantincayDNTSCDHH=lm(TSCDHH..dang.tin.cay~TSCDHH.co.thong.tin+TSCDHH.co. nhan.su+TSCDHH.pp.khong.phuc.tap+TSCDHH.khong.co.dong.co+TSCDHH.e.ngai.nha .dau.tu+TSCDHH.cac.rao.can, data=MauDN) > summary(hqdantincayDNTSCDHH) 166ii Call: lm(formula = TSCDHH..dang.tin.cay ~ TSCDHH.co.thong.tin + TSCDHH.co.nhan.su + TSCDHH.pp.khong.phuc.tap + TSCDHH.khong.co.dong.co + TSCDHH.e.ngai.nha.dau.tu + TSCDHH.cac.rao.can, data = MauDN) Residuals: Min 1Q Median 3Q Max -2.66884 -0.53448 -0.03384 0.53047 2.47713 Coefficients: Estimate Std. Error t value Pr(>|t|) (Intercept) 0.80394 0.28931 2.779 0.00625 ** TSCDHH.co.thong.tin 0.07047 0.08872 0.794 0.42848 TSCDHH.co.nhan.su 0.20844 0.09141 2.280 0.02420 * TSCDHH.pp.khong.phuc.tap 0.25411 0.08341 3.047 0.00280 ** TSCDHH.khong.co.dong.co 0.24771 0.09930 2.495 0.01385 * TSCDHH.e.ngai.nha.dau.tu 0.21887 0.10310 2.123 0.03563 * TSCDHH.cac.rao.can -0.15115 0.10327 -1.464 0.14566 --- Signif. codes: 0 ‘***’ 0.001 ‘**’ 0.01 ‘*’ 0.05 ‘.’ 0.1 ‘ ’ 1 Residual standard error: 0.9575 on 132 degrees of freedom Multiple R-squared: 0.4249, Adjusted R-squared: 0.3987 F-statistic: 16.25 on 6 and 132 DF, p-value: 5.962e-14 > hqdantincayNDTTSVH=lm(TSVH.dang.tin.cay~TSVH.co.thong.tin+TSVH.co.nhan.su+ TSVH.pp.khong.phuc.tap+TSVH.khong.co.dong.co+TSVH.e.ngai.nha.dau.tu+TSVH.c ac.rao.can, data=MauNDT) > summary(hqdantincayNDTTSVH) Call: lm(formula = TSVH.dang.tin.cay ~ TSVH.co.thong.tin + TSVH.co.nhan.su + TSVH.pp.khong.phuc.tap + TSVH.khong.co.dong.co + TSVH.e.ngai.nha.dau.tu + TSVH.cac.rao.can, data = MauNDT) Residuals: Min 1Q Median 3Q Max -1.7107 -0.4246 -0.1110 0.5014 3.5754 Coefficients: Estimate Std. Error t value Pr(>|t|) (Intercept) 0.56166 0.19094 2.942 0.003624 ** TSVH.co.thong.tin 0.07159 0.05290 1.353 0.177363 TSVH.co.nhan.su 0.26673 0.07329 3.639 0.000343 *** TSVH.pp.khong.phuc.tap 0.17655 0.06653 2.654 0.008556 ** TSVH.khong.co.dong.co 0.15955 0.08408 1.898 0.059104 . TSVH.e.ngai.nha.dau.tu -0.03141 0.08914 -0.352 0.724910 TSVH.cac.rao.can 0.21993 0.09104 2.416 0.016542 * --- Signif. codes: 0 ‘***’ 0.001 ‘**’ 0.01 ‘*’ 0.05 ‘.’ 0.1 ‘ ’ 1 167ii Residual standard error: 0.7941 on 214 degrees of freedom Multiple R-squared: 0.4409, Adjusted R-squared: 0.4253 F-statistic: 28.13 on 6 and 214 DF, p-value: < 2.2e-16 > hqdantincayDNTSVH=lm(TSVH.dang.tin.cay~TSVH.co.thong.tin+TSVH.co.nhan.su+T SVH.pp.khong.phuc.tap+TSVH.khong.co.dong.co+TSVH.e.ngai.nha.dau.tu+TSVH.ca c.rao.can, data=MauDN) > summary(hqdantincayDNTSVH) Call: lm(formula = TSVH.dang.tin.cay ~ TSVH.co.thong.tin + TSVH.co.nhan.su + TSVH.pp.khong.phuc.tap + TSVH.khong.co.dong.co + TSVH.e.ngai.nha.dau.tu + TSVH.cac.rao.can, data = MauDN) Residuals: Min 1Q Median 3Q Max -2.24352 -0.50695 -0.01857 0.43938 2.96049 Coefficients: Estimate Std. Error t value Pr(>|t|) (Intercept) 0.60294 0.24116 2.500 0.01364 * TSVH.co.thong.tin 0.12330 0.10102 1.221 0.22442 TSVH.co.nhan.su 0.13251 0.10990 1.206 0.23009 TSVH.pp.khong.phuc.tap 0.28364 0.08918 3.181 0.00183 ** TSVH.khong.co.dong.co 0.11254 0.12692 0.887 0.37684 TSVH.e.ngai.nha.dau.tu 0.08547 0.14274 0.599 0.55036 TSVH.cac.rao.can 0.11645 0.10477 1.111 0.26841 --- Signif. codes: 0 ‘***’ 0.001 ‘**’ 0.01 ‘*’ 0.05 ‘.’ 0.1 ‘ ’ 1 Residual standard error: 0.8798 on 132 degrees of freedom Multiple R-squared: 0.478, Adjusted R-squared: 0.4543 F-statistic: 20.14 on 6 and 132 DF, p-value: < 2.2e-16 > hqdantincayNDTTSTC=lm(TSTC.dang.tin.cay~TSTC.co.thong.tin+TSTC.co.nhan.su+ TSTC.pp.khong.phuc.tap+TSTC.khong.co.dong.co+TSTC.e.ngai.nha.dau.tu+TSTC.c ac.rao.can, data=MauNDT) > summary(hqdantincayNDTTSTC) Call: lm(formula = TSTC.dang.tin.cay ~ TSTC.co.thong.tin + TSTC.co.nhan.su + TSTC.pp.khong.phuc.tap + TSTC.khong.co.dong.co + TSTC.e.ngai.nha.dau.tu + TSTC.cac.rao.can, data = MauNDT) Residuals: Min 1Q Median 3Q Max -1.77049 -0.44942 -0.02364 0.35600 1.96085 Coefficients: 168ii Estimate Std. Error t value Pr(>|t|) (Intercept) 0.79548 0.18405 4.322 2.37e-05 *** TSTC.co.thong.tin 0.14454 0.06259 2.309 0.021888 * TSTC.co.nhan.su 0.26800 0.07218 3.713 0.000261 *** TSTC.pp.khong.phuc.tap 0.08827 0.06372 1.385 0.167450 TSTC.khong.co.dong.co -0.05153 0.08404 -0.613 0.540470 TSTC.e.ngai.nha.dau.tu 0.12266 0.09418 1.302 0.194203 TSTC.cac.rao.can 0.27495 0.06886 3.993 8.97e-05 *** --- Signif. codes: 0 ‘***’ 0.001 ‘**’ 0.01 ‘*’ 0.05 ‘.’ 0.1 ‘ ’ 1 Residual standard error: 0.6793 on 214 degrees of freedom Multiple R-squared: 0.502, Adjusted R-squared: 0.4881 F-statistic: 35.96 on 6 and 214 DF, p-value: < 2.2e-16 > hqdantincayDNTSTC=lm(TSTC.dang.tin.cay~TSTC.co.thong.tin+TSTC.co.nhan.su+T STC.pp.khong.phuc.tap+TSTC.khong.co.dong.co+TSTC.e.ngai.nha.dau.tu+TSTC.ca c.rao.can, data=MauDN) > summary(hqdantincayDNTSTC) Call: lm(formula = TSTC.dang.tin.cay ~ TSTC.co.thong.tin + TSTC.co.nhan.su + TSTC.pp.khong.phuc.tap + TSTC.khong.co.dong.co + TSTC.e.ngai.nha.dau.tu + TSTC.cac.rao.can, data = MauDN) Residuals: Min 1Q Median 3Q Max -2.72249 -0.40680 -0.00773 0.37618 2.58028 Coefficients: Estimate Std. Error t value Pr(>|t|) (Intercept) 1.44231 0.25293 5.702 7.39e-08 *** TSTC.co.thong.tin 0.33606 0.08773 3.831 0.000197 *** TSTC.co.nhan.su -0.03954 0.09385 -0.421 0.674197 TSTC.pp.khong.phuc.tap -0.03908 0.08108 -0.482 0.630671 TSTC.khong.co.dong.co 0.41170 0.08725 4.719 5.97e-06 *** TSTC.e.ngai.nha.dau.tu -0.29436 0.10630 -2.769 0.006429 ** TSTC.cac.rao.can 0.26656 0.10514 2.535 0.012401 * --- Signif. codes: 0 ‘***’ 0.001 ‘**’ 0.01 ‘*’ 0.05 ‘.’ 0.1 ‘ ’ 1 Residual standard error: 0.8261 on 132 degrees of freedom Multiple R-squared: 0.4432, Adjusted R-squared: 0.4179 F-statistic: 17.51 on 6 and 132 DF, p-value: 7.646e-15 > summary(Khoanmuc) Doi.tuong Loai Khoan.muc Ung.ho Doanh nghiep:556 Tu do :556 BDSDT :360 Min. :0.000 Nha dau tu :884 Niem yet :220 TSCDHH:360 1st Qu.:1.000 KTV :192 TSTC :360 Median :1.000 Co phan :120 TSVH :360 Mean :0.809 Von nuoc ngoai: 88 3rd Qu.:1.000 169ii DN khac : 84 Max. :1.000 (Other) :180 Gia.hien.tai Su.thay.doi.gia Bao.toan.von Thich.hop Min. :1.000 Min. :1.000 Min. :1.000 Min. :1.000 1st Qu.:4.000 1st Qu.:3.000 1st Qu.:3.000 1st Qu.:3.000 Median :4.000 Median :4.000 Median :4.000 Median :4.000 Mean :4.001 Mean :3.738 Mean :3.834 Mean :3.963 3rd Qu.:5.000 3rd Qu.:5.000 3rd Qu.:5.000 3rd Qu.:5.000 Max. :5.000 Max. :5.000 Max. :5.000 Max. :5.000 Co.thong.tin Co.nhan.su PP.khong.phuc.tap Khong.co.dong.co Min. : 0.000 Min. :1.000 Min. :1.000 Min. :1.00 1st Qu.: 2.000 1st Qu.:2.000 1st Qu.:2.000 1st Qu.:2.00 Median : 3.000 Median :3.000 Median :3.000 Median :3.00 Mean : 2.763 Mean :3.007 Mean :2.658 Mean :3.03 3rd Qu.: 4.000 3rd Qu.:4.000 3rd Qu.:3.000 3rd Qu.:4.00 Max. :11.000 Max. :5.000 Max. :5.000 Max. :5.00 e.ngai.NDT Cac.rao.can Dang..tin.cay CP.cao Min. :1.00 Min. :1.000 Min. :1.000 Min. :0.000 1st Qu.:2.00 1st Qu.:2.000 1st Qu.:2.000 1st Qu.:3.000 Median :3.00 Median :3.000 Median :3.000 Median :3.000 Mean :3.05 Mean :3.178 Mean :3.239 Mean :3.425 3rd Qu.:4.00 3rd Qu.:4.000 3rd Qu.:4.000 3rd Qu.:4.000 Max. :5.00 Max. :5.000 Max. :5.000 Max. :5.000 Cong.bo.nhieu.thong.tin Min. :1.000 1st Qu.:2.000 Median :3.000 Mean :2.915 3rd Qu.:4.000 Max. :5.000 NA's :1 > hqdantincaykhoanmuc=lm(Dang..tin.cay~Co.thong.tin+Co.nhan.su+PP.khong.phuc .tap+Khong.co.dong.co+e.ngai.NDT+Cac.rao.can, data=Khoanmuc) > summary(hqdantincaykhoanmuc) Call: lm(formula = Dang..tin.cay ~ Co.thong.tin + Co.nhan.su + PP.khong.phuc.tap + Khong.co.dong.co + e.ngai.NDT + Cac.rao.can, data = Khoanmuc) Residuals: Min 1Q Median 3Q Max -3.3702 -0.4544 -0.0301 0.4725 3.3511 Coefficients: Estimate Std. Error t value Pr(>|t|) (Intercept) 0.84338 0.08013 10.525 < 2e-16 *** Co.thong.tin 0.08588 0.02511 3.420 0.000644 *** Co.nhan.su 0.23999 0.02787 8.612 < 2e-16 *** PP.khong.phuc.tap 0.12126 0.02472 4.905 1.04e-06 *** 170ii Khong.co.dong.co 0.10806 0.02998 3.605 0.000323 *** e.ngai.NDT 0.06787 0.03342 2.030 0.042501 * Cac.rao.can 0.18247 0.03050 5.982 2.78e-09 *** --- Signif. codes: 0 ‘***’ 0.001 ‘**’ 0.01 ‘*’ 0.05 ‘.’ 0.1 ‘ ’ 1 Residual standard error: 0.8401 on 1433 degrees of freedom Multiple R-squared: 0.4064, Adjusted R-squared: 0.4039 F-statistic: 163.5 on 6 and 1433 DF, p-value: < 2.2e-16 > t.test(BDSDT~Doi.tuong, data=Mau) Welch Two Sample t-test data: BDSDT by Doi.tuong t = -2.7386, df = 219.42, p-value = 0.006677 alternative hypothesis: true difference in means is not equal to 0 95 percent confidence interval: -0.17241885 -0.02810851 sample estimates: mean in group Doanh nghiep mean in group Nha dau tu 0.8273381 0.9276018 > wilcox.test(BDSDT ~ Doi.tuong, data=Mau) Wilcoxon rank sum test with continuity correction data: BDSDT by Doi.tuong W = 13820, p-value = 0.003261 alternative hypothesis: true location shift is not equal to 0 > t.test(TSCDHH ~Doi.tuong, data=Mau) Welch Two Sample t-test data: TSCDHH by Doi.tuong t = -1.5526, df = 269.1, p-value = 0.1217 alternative hypothesis: true difference in means is not equal to 0 95 percent confidence interval: -0.1624342 0.0192004 sample estimates: mean in group Doanh nghiep mean in group Nha dau tu 0.7338129 0.8054299 > wilcox.test(TSCDHH ~ Doi.tuong, data=Mau) Wilcoxon rank sum test with continuity correction data: TSCDHH by Doi.tuong W = 14260, p-value = 0.1122 alternative hypothesis: true location shift is not equal to 0 > t.test(TSVH ~Doi.tuong, data=Mau) 171ii Welch Two Sample t-test data: TSVH by Doi.tuong t = -0.76531, df = 284.6, p-value = 0.4447 alternative hypothesis: true difference in means is not equal to 0 95 percent confidence interval: -0.13523189 0.05951328 sample estimates: mean in group Doanh nghiep mean in group Nha dau tu 0.6906475 0.7285068 > wilcox.test(TSVH ~ Doi.tuong, data=Mau) Wilcoxon rank sum test with continuity correction data: TSVH by Doi.tuong W = 14778, p-value = 0.4401 alternative hypothesis: true location shift is not equal to 0 > t.test(TSTC ~Doi.tuong, data=Mau) Welch Two Sample t-test data: TSTC by Doi.tuong t = -1.172, df = 265.38, p-value = 0.2422 alternative hypothesis: true difference in means is not equal to 0 95 percent confidence interval: -0.12318362 0.03125354 sample estimates: mean in group Doanh nghiep mean in group Nha dau tu 0.8273381 0.8733032 > wilcox.test(TSTC ~ Doi.tuong, data=Mau) Wilcoxon rank sum test with continuity correction data: TSTC by Doi.tuong W = 14654, p-value = 0.2281 alternative hypothesis: true location shift is not equal to 0 > sosanhungho=aov(Ung.ho~Khoan.muc,data=Khoanmuc) > summary(sosanhungho) Df Sum Sq Mean Sq F value Pr(>F) Khoan.muc 3 6.69 2.2285 14.83 1.64e-09 *** Residuals 1436 215.80 0.1503 --- Signif. codes: 0 ‘***’ 0.001 ‘**’ 0.01 ‘*’ 0.05 ‘.’ 0.1 ‘ ’ 1 > TukeyHSD(sosanhungho) Tukey multiple comparisons of means 95% family-wise confidence level Fit: aov(formula = Ung.ho ~ Khoan.muc, data = Khoanmuc) $Khoan.muc 172ii diff lwr upr p adj TSCDHH-BDSDT -0.11111111 -0.185428000 -0.03679422 0.0007243 TSTC-BDSDT -0.03333333 -0.107650223 0.04098356 0.6562309 TSVH-BDSDT -0.17500000 -0.249316889 -0.10068311 0.0000000 TSTC-TSCDHH 0.07777778 0.003460889 0.15209467 0.0361351 TSVH-TSCDHH -0.06388889 -0.138205778 0.01042800 0.1206534 TSVH-TSTC -0.14166667 -0.215983556 -0.06734978 0.0000063 > sosanhungho2=aov(Ung.ho~Khoan.muc+Doi.tuong, data=Khoanmuc) > Summary(sosanhungho2) Error in (function (classes, fdef, mtable) : unable to find an inherited method for function ‘Summary’ for signature ‘"aov"’ > lgBDSDT=glm(BDSDT~BDSDT.thich.hop+BDSDT.dang.tin.cay+BDSDT.chi.phi.cao+BDS DT.cong.bo.thong.tin, family=binomial, data=MauDN) > summary(lgBDSDT) Call: glm(formula = BDSDT ~ BDSDT.thich.hop + BDSDT.dang.tin.cay + BDSDT.chi.phi.cao + BDSDT.cong.bo.thong.tin, family = binomial, data = MauDN) Deviance Residuals: Min 1Q Median 3Q Max -2.6212 0.1535 0.3136 0.5686 1.6680 Coefficients: Estimate Std. Error z value Pr(>|z|) (Intercept) -3.3783 1.4157 -2.386 0.01702 * BDSDT.thich.hop 0.5612 0.2418 2.321 0.02028 * BDSDT.dang.tin.cay 0.9353 0.2878 3.250 0.00115 ** BDSDT.chi.phi.cao -0.2971 0.2493 -1.192 0.23328 BDSDT.cong.bo.thong.tin 0.3921 0.2464 1.592 0.11148 --- Signif. codes: 0 ‘***’ 0.001 ‘**’ 0.01 ‘*’ 0.05 ‘.’ 0.1 ‘ ’ 1 (Dispersion parameter for binomial family taken to be 1) Null deviance: 127.90 on 138 degrees of freedom Residual deviance: 97.69 on 134 degrees of freedom AIC: 107.69 Number of Fisher Scoring iterations: 6 > lgBDSDT=glm(TSCDHH~TSCDHH.thich.hop+TSCDHH..dang.tin.cay+TSCDHH.chi.phi.ca o+TSCDHH.cong.bo.thong.tin, family=binomial,data=MauDN) > lgTSCDHH=glm(TSCDHH~TSCDHH.thich.hop+TSCDHH..dang.tin.cay+TSCDHH.chi.phi.c ao+TSCDHH.cong.bo.thong.tin, family=binomial,data=MauDN) > summary(lgTSCDHH) Call: 173ii glm(formula = TSCDHH ~ TSCDHH.thich.hop + TSCDHH..dang.tin.cay + TSCDHH.chi.phi.cao + TSCDHH.cong.bo.thong.tin, family = binomial, data = MauDN) Deviance Residuals: Min 1Q Median 3Q Max -2.7685 -0.3824 0.2799 0.6142 2.1785 Coefficients: Estimate Std. Error z value Pr(>|z|) (Intercept) -5.15493 1.37398 -3.752 0.000176 *** TSCDHH.thich.hop 1.09353 0.22049 4.960 7.07e-07 *** TSCDHH..dang.tin.cay 0.68127 0.23135 2.945 0.003233 ** TSCDHH.chi.phi.cao -0.01177 0.25039 -0.047 0.962520 TSCDHH.cong.bo.thong.tin 0.11480 0.20575 0.558 0.576865 --- Signif. codes: 0 ‘***’ 0.001 ‘**’ 0.01 ‘*’ 0.05 ‘.’ 0.1 ‘ ’ 1 (Dispersion parameter for binomial family taken to be 1) Null deviance: 161.08 on 138 degrees of freedom Residual deviance: 104.04 on 134 degrees of freedom AIC: 114.04 Number of Fisher Scoring iterations: 5 > lgTSTC=glm(TSTC~TSTC.thich.hop+TSTC.dang.tin.cay+TSTC.chi.phi.cao+TSTC.con g.bo.thong.tin, family=binomial,data=MauDN) > logic4=read.csv("D:\\HOC NCS\\NCS\\BAI VIET\\R\\logic4-R.csv", header=T) > dim(logic4) [1] 139 35 > names(logic4) [1] "DCP" "DNY" [3] "Dnn" "Size" [5] "Quy.mo" "LEV" [7] "Don.bay" "TT.BDSDT" [9] "TT.TSCDHH" "TT.TSVH" [11] "TT.TSTC" "Ti.trong.BDSDT" [13] "Ti.trong.TSCDHH" "Ti.trong.TSVH" [15] "Ti.trong.TSTC" "BDSDT" [17] "BDSDT.thich.hop" "BDSDT.dang.tin.cay" [19] "BDSDT.chi.phi.cao" "BDSDT.cong.bo.thong.tin" [21] "TSCDHH" "TSCDHH.thich.hop" [23] "TSCDHH..dang.tin.cay" "TSCDHH.chi.phi.cao" [25] "TSCDHH.cong.bo.thong.tin" "TSVH" [27] "TSVH.thich.hop" "TSVH.dang.tin.cay" [29] "TSVH.chi.phi.cao" "TSVH.cong.bo.thong.tin" [31] "TSTC" "TSTC.thich.hop" [33] "TSTC.dang.tin.cay" "TSTC.chi.phi.cao" [35] "TSTC.cong.bo.thong.tin" > lg4BDSDT=glm(BDSDT~BDSDT.thich.hop+BDSDT.dang.tin.cay+BDSDT.chi.phi.cao+BD 174ii SDT.cong.bo.thong.tin+Don.bay+TT.BDSDT+DCP+Dnn+DNY+Quy.mo, family=binomial, data=logic4) > summary(lg4BDSDT) Call: glm(formula = BDSDT ~ BDSDT.thich.hop + BDSDT.dang.tin.cay + BDSDT.chi.phi.cao + BDSDT.cong.bo.thong.tin + Don.bay + TT.BDSDT + DCP + Dnn + DNY + Quy.mo, family = binomial, data = logic4) Deviance Residuals: Min 1Q Median 3Q Max -2.71542 0.09148 0.23698 0.49802 1.65890 Coefficients: Estimate Std. Error z value Pr(>|z|) (Intercept) -3.58073 1.86875 -1.916 0.05535 . BDSDT.thich.hop 0.64524 0.27322 2.362 0.01820 * BDSDT.dang.tin.cay 0.91205 0.32042 2.846 0.00442 ** BDSDT.chi.phi.cao -0.08952 0.28585 -0.313 0.75416 BDSDT.cong.bo.thong.tin 0.50554 0.28826 1.754 0.07947 . Don.bay 1.00 -1.14078 0.59013 -1.933 0.05323 . TT.BDSDT 1.00 -0.81439 0.60625 -1.343 0.17916 DCP 1.21940 1.34421 0.907 0.36433 Dnn -1.47091 0.95278 -1.544 0.12264 DNY -1.30649 0.83847 -1.558 0.11919 Quy.mo 1.00 0.84733 0.91030 0.931 0.35194 --- Signif. codes: 0 ‘***’ 0.001 ‘**’ 0.01 ‘*’ 0.05 ‘.’ 0.1 ‘ ’ 1 (Dispersion parameter for binomial family taken to be 1) Null deviance: 127.903 on 138 degrees of freedom Residual deviance: 84.435 on 128 degrees of freedom AIC: 106.43 Number of Fisher Scoring iterations: 6 > lg4TSCDHH=glm(TSCDHH~TSCDHH.thich.hop+TSCDHH..dang.tin.cay+TSCDHH.chi.phi. cao+TSCDHH.cong.bo.thong.tin+Don.bay+TT.TSCDHH+DCP+Dnn+DNY+Quy.mo, family=binomial, data=logic4) > summary(lg4TSCDHH) Call: glm(formula = TSCDHH ~ TSCDHH.thich.hop + TSCDHH..dang.tin.cay + TSCDHH.chi.phi.cao + TSCDHH.cong.bo.thong.tin + Don.bay + TT.TSCDHH + DCP + Dnn + DNY + Quy.mo, family = binomial, data = logic4) Deviance Residuals: Min 1Q Median 3Q Max -2.6311 -0.3671 0.2842 0.5641 2.0681 Coefficients: 175ii Estimate Std. Error z value Pr(>|z|) (Intercept) -6.59777 1.70242 -3.876 0.000106 *** TSCDHH.thich.hop 1.08406 0.22398 4.840 1.3e-06 *** TSCDHH..dang.tin.cay 0.76037 0.24534 3.099 0.001940 ** TSCDHH.chi.phi.cao -0.05517 0.26830 -0.206 0.837071 TSCDHH.cong.bo.thong.tin 0.15208 0.21705 0.701 0.483504 Don.bay 1.00 0.46607 0.54471 0.856 0.392200 TT.TSCDHH 1.00 0.79783 0.61093 1.306 0.191578 DCP 0.77991 0.76880 1.014 0.310362 Dnn 0.86355 0.92086 0.938 0.348367 DNY 0.77348 0.72648 1.065 0.287009 Quy.mo 1.00 0.29741 0.67511 0.441 0.659553 --- Signif. codes: 0 ‘***’ 0.001 ‘**’ 0.01 ‘*’ 0.05 ‘.’ 0.1 ‘ ’ 1 (Dispersion parameter for binomial family taken to be 1) Null deviance: 161.08 on 138 degrees of freedom Residual deviance: 100.38 on 128 degrees of freedom AIC: 122.38 Number of Fisher Scoring iterations: 6 > lg4TSVH=glm(TSVH~TSVH.thich.hop+TSVH.dang.tin.cay+TSVH.chi.phi.cao+TSVH.co ng.bo.thong.tin+Don.bay+TT.TSVH+DCP+Dnn+DNY+Quy.mo, family=binomial, data=logic4) > summary(lg4TSVH) Call: glm(formula = TSVH ~ TSVH.thich.hop + TSVH.dang.tin.cay + TSVH.chi.phi.cao + TSVH.cong.bo.thong.tin + Don.bay + TT.TSVH + DCP + Dnn + DNY + Quy.mo, family = binomial, data = logic4) Deviance Residuals: Min 1Q Median 3Q Max -2.3243 -0.8319 0.4011 0.6921 2.3518 Coefficients: Estimate Std. Error z value Pr(>|z|) (Intercept) -1.0255 1.2827 -0.799 0.424015 TSVH.thich.hop 0.6231 0.2000 3.115 0.001837 ** TSVH.dang.tin.cay 0.8353 0.2228 3.749 0.000178 *** TSVH.chi.phi.cao -0.2317 0.2244 -1.033 0.301690 TSVH.cong.bo.thong.tin -0.4567 0.2104 -2.171 0.029919 * Don.bay 1.00 -0.2939 0.4566 -0.644 0.519818 TT.TSVH 1.00 -0.1668 0.5886 -0.283 0.776924 DCP 0.7552 0.7020 1.076 0.281988 Dnn 0.6701 0.7907 0.847 0.396724 DNY -0.2666 0.6268 -0.425 0.670548 Quy.mo 1.00 -0.5074 0.6889 -0.737 0.461410 --- Signif. codes: 0 ‘***’ 0.001 ‘**’ 0.01 ‘*’ 0.05 ‘.’ 0.1 ‘ ’ 1 176ii (Dispersion parameter for binomial family taken to be 1) Null deviance: 171.97 on 138 degrees of freedom Residual deviance: 130.13 on 128 degrees of freedom AIC: 152.13 Number of Fisher Scoring iterations: 5 > lg4TSTC=glm(TSTC~TSTC.thich.hop+TSTC.dang.tin.cay+TSTC.chi.phi.cao+TSTC.co ng.bo.thong.tin+Don.bay+TT.TSTC+DCP+Dnn+DNY+Quy.mo, family=binomial, data=logic4) > summary(lg4TSTC) Call: glm(formula = TSTC ~ TSTC.thich.hop + TSTC.dang.tin.cay + TSTC.chi.phi.cao + TSTC.cong.bo.thong.tin + Don.bay + TT.TSTC + DCP + Dnn + DNY + Quy.mo, family = binomial, data = logic4) Deviance Residuals: Min 1Q Median 3Q Max -3.9051 0.0015 0.0171 0.1038 1.4026 Coefficients: Estimate Std. Error z value Pr(>|z|) (Intercept) -12.88051 4.70121 -2.740 0.006147 ** TSTC.thich.hop 3.10601 0.85934 3.614 0.000301 *** TSTC.dang.tin.cay 2.42678 0.80970 2.997 0.002725 ** TSTC.chi.phi.cao 0.01353 0.69431 0.019 0.984455 TSTC.cong.bo.thong.tin 0.32735 0.68321 0.479 0.631842 Don.bay 1.00 -1.13130 1.19675 -0.945 0.344499 TT.TSTC 1.00 -0.28262 1.14841 -0.246 0.805605 DCP 1.89916 1.71551 1.107 0.268271 Dnn -1.60495 1.78971 -0.897 0.369844 DNY -0.59269 1.28918 -0.460 0.645699 Quy.mo 1.00 -3.32788 1.98231 -1.679 0.093194 . --- Signif. codes: 0 ‘***’ 0.001 ‘**’ 0.01 ‘*’ 0.05 ‘.’ 0.1 ‘ ’ 1 (Dispersion parameter for binomial family taken to be 1) Null deviance: 127.903 on 138 degrees of freedom Residual deviance: 31.134 on 128 degrees of freedom AIC: 53.134 Number of Fisher Scoring iterations: 9 > library(rms) Loading required package: Hmisc Loading required package: lattice Loading required package: survival Loading required package: Formula 177ii Loading required package: ggplot2 Attaching package: ‘Hmisc’ The following objects are masked from ‘package:base’: format.pval, round.POSIXt, trunc.POSIXt, units Loading required package: SparseM Attaching package: ‘SparseM’ The following object is masked from ‘package:base’: backsolve > hqlrmBDSDT=lrm(BDSDT~BDSDT.thich.hop+BDSDT.dang.tin.cay+BDSDT.chi.phi.cao+ BDSDT.cong.bo.thong.tin, data=MauDN) > hqlrmBDSDT Logistic Regression Model lrm(formula = BDSDT ~ BDSDT.thich.hop + BDSDT.dang.tin.cay + BDSDT.chi.phi.cao + BDSDT.cong.bo.thong.tin, data = MauDN) Model Likelihood Discrimination Rank Discrim. Ratio Test Indexes Indexes Obs 139 LR chi2 30.21 R2 0.325 C 0.830 0 24 d.f. 4 g 1.746 Dxy 0.659 1 115 Pr(> chi2) <0.0001 gr 5.730 gamma 0.662 max |deriv| 2e-07 gp 0.190 tau-a 0.190 Brier 0.110 Coef S.E. Wald Z Pr(>|Z|) Intercept -3.3783 1.4157 -2.39 0.0170 BDSDT.thich.hop 0.5612 0.2418 2.32 0.0203 BDSDT.dang.tin.cay 0.9353 0.2878 3.25 0.0012 BDSDT.chi.phi.cao -0.2971 0.2493 -1.19 0.2333 BDSDT.cong.bo.thong.tin 0.3921 0.2464 1.59 0.1115 > hqlrmTSCDHH=lrm(TSCDHH~TSCDHH.thich.hop+TSCDHH..dang.tin.cay+TSCDHH.chi.ph i.cao+TSCDHH.cong.bo.thong.tin, data=MauDN) > hqlrmTSCDHH Logistic Regression Model lrm(formula = TSCDHH ~ TSCDHH.thich.hop + TSCDHH..dang.tin.cay + TSCDHH.chi.phi.cao + TSCDHH.cong.bo.thong.tin, data = MauDN) Model Likelihood Discrimination Rank Discrim. Ratio Test Indexes Indexes Obs 139 LR chi2 57.04 R2 0.491 C 0.882 0 37 d.f. 4 g 2.147 Dxy 0.764 178ii 1 102 Pr(> chi2) <0.0001 gr 8.558 gamma 0.767 max |deriv| 3e-07 gp 0.295 tau-a 0.301 Brier 0.116 Coef S.E. Wald Z Pr(>|Z|) Intercept -5.1549 1.3740 -3.75 0.0002 TSCDHH.thich.hop 1.0935 0.2205 4.96 <0.0001 TSCDHH..dang.tin.cay 0.6813 0.2314 2.94 0.0032 TSCDHH.chi.phi.cao -0.0118 0.2504 -0.05 0.9625 TSCDHH.cong.bo.thong.tin 0.1148 0.2058 0.56 0.5769 > hqlrmTSVH=lrm(TSVH~TSVH.thich.hop+TSVH.dang.tin.cay+TSVH.chi.phi.cao+TSVH. cong.bo.thong.tin, data=MauDN) > hqlrmTSVH Logistic Regression Model lrm(formula = TSVH ~ TSVH.thich.hop + TSVH.dang.tin.cay + TSVH.chi.phi.cao + TSVH.cong.bo.thong.tin, data = MauDN) Model Likelihood Discrimination Rank Discrim. Ratio Test Indexes Indexes Obs 139 LR chi2 35.64 R2 0.319 C 0.802 0 43 d.f. 4 g 1.548 Dxy 0.603 1 96 Pr(> chi2) <0.0001 gr 4.704 gamma 0.611 max |deriv| 1e-10 gp 0.256 tau-a 0.260 Brier 0.166 Coef S.E. Wald Z Pr(>|Z|) Intercept -1.5177 0.9885 -1.54 0.1247 TSVH.thich.hop 0.5844 0.1881 3.11 0.0019 TSVH.dang.tin.cay 0.7940 0.2119 3.75 0.0002 TSVH.chi.phi.cao -0.1935 0.2142 -0.90 0.3664 TSVH.cong.bo.thong.tin -0.4189 0.1996 -2.10 0.0358 > > hqlrmTSTC=lrm(TSTC~TSTC.thich.hop+TSTC.dang.tin.cay+TSTC.chi.phi.cao+TSTC. cong.bo.thong.tin, data=MauDN) > hqlrmTSTC Logistic Regression Model lrm(formula = TSTC ~ TSTC.thich.hop + TSTC.dang.tin.cay + TSTC.chi.phi.cao + TSTC.cong.bo.thong.tin, data = MauDN) Model Likelihood Discrimination Rank Discrim. Ratio Test Indexes Indexes Obs 139 LR chi2 87.54 R2 0.777 C 0.969 0 24 d.f. 4 g 4.810 Dxy 0.939 1 115 Pr(> chi2) <0.0001 gr 122.698 gamma 0.943 179ii max |deriv| 2e-08 gp 0.273 tau-a 0.270 Brier 0.038 Coef S.E. Wald Z Pr(>|Z|) Intercept -11.7906 3.3685 -3.50 0.0005 TSTC.thich.hop 2.3401 0.5525 4.24 <0.0001 TSTC.dang.tin.cay 2.1248 0.5903 3.60 0.0003 TSTC.chi.phi.cao -0.6522 0.4958 -1.32 0.1884 TSTC.cong.bo.thong.tin 0.4111 0.5131 0.80 0.4230 > hqlrmBDSDT2=lrm(BDSDT~BDSDT.thich.hop+BDSDT.dang.tin.cay+BDSDT.chi.phi.cao +BDSDT.cong.bo.thong.tin+TT.BDSDT+Quy.mo+Don.bay+DCP+DNY+Dnn, data=logic4) > hqlrmBDSDT2 Logistic Regression Model lrm(formula = BDSDT ~ BDSDT.thich.hop + BDSDT.dang.tin.cay + BDSDT.chi.phi.cao + BDSDT.cong.bo.thong.tin + TT.BDSDT + Quy.mo + Don.bay + DCP + DNY + Dnn, data = logic4) Model Likelihood Discrimination Rank Discrim. Ratio Test Indexes Indexes Obs 139 LR chi2 43.47 R2 0.446 C 0.877 0 24 d.f. 10 g 2.473 Dxy 0.754 1 115 Pr(> chi2) <0.0001 gr 11.856 gamma 0.757 max |deriv| 1e-08 gp 0.220 tau-a 0.217 Brier 0.094 Coef S.E. Wald Z Pr(>|Z|) Intercept -3.5807 1.8688 -1.92 0.0554 BDSDT.thich.hop 0.6452 0.2732 2.36 0.0182 BDSDT.dang.tin.cay 0.9120 0.3204 2.85 0.0044 BDSDT.chi.phi.cao -0.0895 0.2859 -0.31 0.7542 BDSDT.cong.bo.thong.tin 0.5055 0.2883 1.75 0.0795 TT.BDSDT= 1.00 -0.8144 0.6063 -1.34 0.1792 Quy.mo= 1.00 0.8473 0.9103 0.93 0.3520 Don.bay= 1.00 -1.1408 0.5901 -1.93 0.0532 DCP 1.2194 1.3444 0.91 0.3644 DNY -1.3065 0.8385 -1.56 0.1192 Dnn -1.4709 0.9528 -1.54 0.1226 > > hqlrmTSCDHH2=lrm(TSCDHH~TSCDHH.thich.hop+TSCDHH..dang.tin.cay+TSCDHH.chi.p hi.cao+TSCDHH.cong.bo.thong.tin+TT.TSCDHH+Quy.mo+Don.bay+DCP+DNY+Dnn, data=logic4) > hqlrmTSCDHH2 Logistic Regression Model lrm(formula = TSCDHH ~ TSCDHH.thich.hop + TSCDHH..dang.tin.cay + TSCDHH.chi.phi.cao + TSCDHH.cong.bo.thong.tin + TT.TSCDHH + 180ii Quy.mo + Don.bay + DCP + DNY + Dnn, data = logic4) Model Likelihood Discrimination Rank Discrim. Ratio Test Indexes Indexes Obs 139 LR chi2 60.70 R2 0.516 C 0.886 0 37 d.f. 10 g 2.305 Dxy 0.773 1 102 Pr(> chi2) <0.0001 gr 10.020 gamma 0.774 max |deriv| 3e-06 gp 0.304 tau-a 0.304 Brier 0.113 Coef S.E. Wald Z Pr(>|Z|) Intercept -6.5978 1.7024 -3.88 0.0001 TSCDHH.thich.hop 1.0841 0.2240 4.84 <0.0001 TSCDHH..dang.tin.cay 0.7604 0.2453 3.10 0.0019 TSCDHH.chi.phi.cao -0.0552 0.2683 -0.21 0.8371 TSCDHH.cong.bo.thong.tin 0.1521 0.2170 0.70 0.4835 TT.TSCDHH= 1.00 0.7978 0.6109 1.31 0.1916 Quy.mo= 1.00 0.2974 0.6751 0.44 0.6596 Don.bay= 1.00 0.4661 0.5447 0.86 0.3922 DCP 0.7799 0.7688 1.01 0.3104 DNY 0.7735 0.7265 1.06 0.2870 Dnn 0.8635 0.9209 0.94 0.3484 > hqlrmTSVH2=lrm(TSVH~TSVH.thich.hop+TSVH.dang.tin.cay+TSVH.chi.phi.cao+TSVH .cong.bo.thong.tin+TT.TSVH+Quy.mo+Don.bay+DCP+DNY+Dnn, data=logic4) > hqlrmTSVH2 Logistic Regression Model lrm(formula = TSVH ~ TSVH.thich.hop + TSVH.dang.tin.cay + TSVH.chi.phi.cao + TSVH.cong.bo.thong.tin + TT.TSVH + Quy.mo + Don.bay + DCP + DNY + Dnn, data = logic4) Model Likelihood Discrimination Rank Discrim. Ratio Test Indexes Indexes Obs 139 LR chi2 41.84 R2 0.366 C 0.829 0 43 d.f. 10 g 1.770 Dxy 0.657 1 96 Pr(> chi2) <0.0001 gr 5.874 gamma 0.659 max |deriv| 8e-09 gp 0.276 tau-a 0.283 Brier 0.156 Coef S.E. Wald Z Pr(>|Z|) Intercept -1.0255 1.2827 -0.80 0.4240 TSVH.thich.hop 0.6231 0.2000 3.12 0.0018 TSVH.dang.tin.cay 0.8353 0.2228 3.75 0.0002 TSVH.chi.phi.cao -0.2317 0.2244 -1.03 0.3017 TSVH.cong.bo.thong.tin -0.4567 0.2104 -2.17 0.0299 TT.TSVH= 1.00 -0.1668 0.5886 -0.28 0.7769 Quy.mo= 1.00 -0.5074 0.6889 -0.74 0.4614 Don.bay= 1.00 -0.2939 0.4566 -0.64 0.5198 DCP 0.7552 0.7020 1.08 0.2820 DNY -0.2666 0.6268 -0.43 0.6705 Dnn 0.6701 0.7907 0.85 0.3967 181ii > hqlrmTSTC2=lrm(TSTC~TSTC.thich.hop+TSTC.dang.tin.cay+TSTC.chi.phi.cao+TSTC .cong.bo.thong.tin+TT.TSTC+Quy.mo+Don.bay+DCP+DNY+Dnn, data=logic4) > hqlrmTSTC2 Logistic Regression Model lrm(formula = TSTC ~ TSTC.thich.hop + TSTC.dang.tin.cay + TSTC.chi.phi.cao + TSTC.cong.bo.thong.tin + TT.TSTC + Quy.mo + Don.bay + DCP + DNY + Dnn, data = logic4) Model Likelihood Discrimination Rank Discrim. Ratio Test Indexes Indexes Obs 139 LR chi2 96.77 R2 0.834 C 0.971 0 24 d.f. 10 g 6.856 Dxy 0.942 1 115 Pr(> chi2) <0.0001 gr 949.163 gamma 0.968 max |deriv| 3e-08 gp 0.280 tau-a 0.271 Brier 0.021 Coef S.E. Wald Z Pr(>|Z|) Intercept -12.8805 4.7012 -2.74 0.0061 TSTC.thich.hop 3.1060 0.8593 3.61 0.0003 TSTC.dang.tin.cay 2.4268 0.8097 3.00 0.0027 TSTC.chi.phi.cao 0.0135 0.6943 0.02 0.9845 TSTC.cong.bo.thong.tin 0.3273 0.6832 0.48 0.6318 TT.TSTC= 1.00 -0.2826 1.1484 -0.25 0.8056 Quy.mo= 1.00 -3.3279 1.9823 -1.68 0.0932 Don.bay= 1.00 -1.1313 1.1967 -0.95 0.3445 DCP 1.8992 1.7155 1.11 0.2683 DNY -0.5927 1.2892 -0.46 0.6457 Dnn -1.6049 1.7897 -0.90 0.3698 > > L Error: unexpected input in "L\" > > op = par(mfrow = c(4,4)) > plot(logic4$BDSDT.thich.hop, fitted(glm(logic4$BDSDT~logic4$BDSDT.thich.hop, family = "binomial"))) > abline(lm(logic4$BDSDT~logic4$BDSDT.thich.hop)) > plot(logic4$BDSDT.dang.tin.cay, fitted(glm(logic4$BDSDT~logic4$BDSDT.dang.tin.cay, family = "binomial"))) > abline(lm(logic4$BDSDT~logic4$BDSDT.dang.tin.cay)) > plot(logic4$BDSDT.chi.phi.cao, fitted(glm(logic4$BDSDT~logic4$BDSDT.chi.phi.cao, family = "binomial"))) > abline(lm(logic4$BDSDT~logic4$BDSDT.chi.phi.cao)) > plot(logic4$BDSDT.cong.bo.thong.tin, fitted(glm(logic4$BDSDT~logic4$BDSDT.cong.bo.thong.tin, family = "binomial"))) > abline(lm(logic4$BDSDT~logic4$BDSDT.cong.bo.thong.tin)) > 182ii > plot(logic4$TSCDHH.thich.hop, fitted(glm(logic4$TSCDHH~logic4$TSCDHH.thich.hop, family = "binomial"))) > abline(lm(logic4$TSCDHH~logic4$TSCDHH.thich.hop)) > plot(logic4$TSCDHH..dang.tin.cay, fitted(glm(logic4$TSCDHH~logic4$TSCDHH..dang.tin.cay, family = "binomial"))) > abline(lm(logic4$TSCDHH~logic4$TSCDHH..dang.tin.cay)) > plot(logic4$TSCDHH.chi.phi.cao, fitted(glm(logic4$TSCDHH~logic4$TSCDHH.chi.phi.cao, family = "binomial"))) > abline(lm(logic4$TSCDHH~logic4$TSCDHH.chi.phi.cao)) > plot(logic4$TSCDHH.cong.bo.thong.tin, fitted(glm(logic4$TSCDHH~logic4$TSCDHH.cong.bo.thong.tin, family = "binomial"))) > abline(lm(logic4$TSCDHH~logic4$TSCDHH.cong.bo.thong.tin)) > > plot(logic4$TSVH.thich.hop, fitted(glm(logic4$TSVH~logic4$TSVH.thich.hop, family = "binomial"))) > abline(lm(logic4$TSVH~logic4$TSVH.thich.hop)) > plot(logic4$TSVH.dang.tin.cay, fitted(glm(logic4$TSVH~logic4$TSVH.dang.tin.cay, family = "binomial"))) > abline(lm(logic4$TSVH~logic4$TSVH.dang.tin.cay)) > plot(logic4$TSVH.chi.phi.cao, fitted(glm(logic4$TSVH~logic4$TSVH.chi.phi.cao, family = "binomial"))) > abline(lm(logic4$TSVH~logic4$TSVH.chi.phi.cao)) > plot(logic4$TSVH.cong.bo.thong.tin, fitted(glm(logic4$TSVH~logic4$TSVH.cong.bo.thong.tin, family = "binomial"))) > abline(lm(logic4$TSVH~logic4$TSVH.cong.bo.thong.tin)) > > plot(logic4$TSTC.thich.hop, fitted(glm(logic4$TSTC~logic4$TSTC.thich.hop, family = "binomial"))) > abline(lm(logic4$TSTC~logic4$TSTC.thich.hop)) > plot(logic4$TSTC.dang.tin.cay, fitted(glm(logic4$TSTC~logic4$TSTC.dang.tin.cay, family = "binomial"))) > abline(lm(logic4$TSTC~logic4$TSTC.dang.tin.cay)) > plot(logic4$TSTC.chi.phi.cao, fitted(glm(logic4$TSTC~logic4$TSTC.chi.phi.cao, family = "binomial"))) > abline(lm(logic4$TSTC~logic4$TSTC.chi.phi.cao)) > plot(logic4$TSTC.cong.bo.thong.tin, fitted(glm(logic4$TSTC~logic4$TSTC.cong.bo.thong.tin, family = "binomial"))) > abline(lm(logic4$TSTC~logic4$TSTC.cong.bo.thong.tin)) > > > > Phân tích các bi Error: unexpected symbol in "Phân tích" > > aggregate(MauDN$BDSDT.thich.hop, list(MauDN$Loai), FUN = "mean") Group.1 x 1 Co phan 4.400000 2 DN khac 4.333333 3 DNNN 3.909091 4 Niem yet 4.145455 183ii 5 Von nuoc ngoai 4.454545 > aggregate(MauDN$TSCDHH.thich.hop, list(MauDN$Loai), FUN = "mean") Group.1 x 1 Co phan 4.033333 2 DN khac 3.857143 3 DNNN 3.727273 4 Niem yet 3.618182 5 Von nuoc ngoai 4.090909 > aggregate(MauDN$TSVH.thich.hop, list(MauDN$Loai), FUN = "mean") Group.1 x 1 Co phan 3.900000 2 DN khac 3.428571 3 DNNN 3.909091 4 Niem yet 3.781818 5 Von nuoc ngoai 3.954545 > aggregate(MauDN$TSTC.thich.hop, list(MauDN$Loai), FUN = "mean") Group.1 x 1 Co phan 4.133333 2 DN khac 4.190476 3 DNNN 4.181818 4 Niem yet 3.909091 5 Von nuoc ngoai 4.227273 > > aggregate(MauDN$BDSDT.dang.tin.cay, list(MauDN$Loai), FUN = "mean") Group.1 x 1 Co phan 3.666667 2 DN khac 3.571429 3 DNNN 3.181818 4 Niem yet 2.909091 5 Von nuoc ngoai 3.272727 > aggregate(MauDN$TSCDHH..dang.tin.cay, list(MauDN$Loai), FUN = "mean") Group.1 x 1 Co phan 3.433333 2 DN khac 3.476190 3 DNNN 3.090909 4 Niem yet 3.290909 5 Von nuoc ngoai 3.227273 > aggregate(MauDN$TSVH.dang.tin.cay, list(MauDN$Loai), FUN = "mean") Group.1 x 1 Co phan 2.966667 2 DN khac 2.904762 3 DNNN 3.181818 4 Niem yet 2.909091 5 Von nuoc ngoai 3.000000 > aggregate(MauDN$TSTC.dang.tin.cay, list(MauDN$Loai), FUN = "mean") Group.1 x 1 Co phan 3.800000 2 DN khac 3.571429 3 DNNN 3.363636 4 Niem yet 3.490909 5 Von nuoc ngoai 3.636364 > > > aggregate(MauDN$BDSDT.chi.phi.cao, list(MauDN$Loai), FUN = "mean") 184ii Group.1 x 1 Co phan 2.800000 2 DN khac 3.238095 3 DNNN 3.090909 4 Niem yet 3.545455 5 Von nuoc ngoai 3.363636 > aggregate(MauDN$TSCDHH.chi.phi.cao, list(MauDN$Loai), FUN = "mean") Group.1 x 1 Co phan 2.933333 2 DN khac 3.476190 3 DNNN 2.727273 4 Niem yet 3.600000 5 Von nuoc ngoai 3.590909 > aggregate(MauDN$TSVH.chi.phi.cao, list(MauDN$Loai), FUN = "mean") Group.1 x 1 Co phan 3.466667 2 DN khac 3.571429 3 DNNN 3.000000 4 Niem yet 3.727273 5 Von nuoc ngoai 4.045455 > aggregate(MauDN$TSTC.chi.phi.cao, list(MauDN$Loai), FUN = "mean") Group.1 x 1 Co phan 3.233333 2 DN khac 3.047619 3 DNNN 2.909091 4 Niem yet 3.072727 5 Von nuoc ngoai 3.409091 > > aggregate(MauDN$BDSDT.cong.bo.thong.tin, list(MauDN$Loai), FUN = "mean") Group.1 x 1 Co phan 3.066667 2 DN khac 2.428571 3 DNNN 2.363636 4 Niem yet 3.036364 5 Von nuoc ngoai 2.772727 > aggregate(MauDN$TSCDHH.cong.bo.thong.tin, list(MauDN$Loai), FUN = "mean") Group.1 x 1 Co phan 2.866667 2 DN khac 3.000000 3 DNNN 2.454545 4 Niem yet 2.854545 5 Von nuoc ngoai 2.363636 > aggregate(MauDN$TSVH.cong.bo.thong.tin, list(MauDN$Loai), FUN = "mean") Group.1 x 1 Co phan 3.033333 2 DN khac 3.333333 3 DNNN 2.454545 4 Niem yet 3.018182 5 Von nuoc ngoai 2.772727 > aggregate(MauDN$TSTC.cong.bo.thong.tin, list(MauDN$Loai), FUN = "mean") Group.1 x 1 Co phan 3.033333 2 DN khac 3.380952 185ii 3 DNNN 2.363636 4 Niem yet 2.781818 5 Von nuoc ngoai 2.818182 > > anovaloaithichhop = aov(BDSDT.thich.hop~Loai, data=MauDN) > summary(anovaloaithichhop) Df Sum Sq Mean Sq F value Pr(>F) Loai 4 3.61 0.9024 0.967 0.428 Residuals 134 125.07 0.9333 > anovaloaiTSCDHHthichhop = aov(TSCDHH.thich.hop~Loai, data=MauDN) > summary(anovaloaiTSCDHHthichhop) Df Sum Sq Mean Sq F value Pr(>F) Loai 4 5.34 1.334 0.841 0.501 Residuals 134 212.52 1.586 > anovaloaiTSVHthichhop = aov(TSVH.thich.hop~Loai, data=MauDN) > summary(anovaloaiTSVHthichhop) Df Sum Sq Mean Sq F value Pr(>F) Loai 4 3.86 0.9653 0.691 0.599 Residuals 134 187.09 1.3962 > anovaloaiTSTCthichhop = aov(TSTC.thich.hop~Loai, data=MauDN) > summary(anovaloaiTSTCthichhop) Df Sum Sq Mean Sq F value Pr(>F) Loai 4 2.53 0.6326 0.464 0.762 Residuals 134 182.75 1.3638 > > anovaloaiBDSDTdangtincay = aov(BDSDT.dang.tin.cay~Loai, data=MauDN) > summary(anovaloaiBDSDTdangtincay) Df Sum Sq Mean Sq F value Pr(>F) Loai 4 13.83 3.458 2.541 0.0427 * Residuals 134 182.35 1.361 --- Signif. codes: 0 ‘***’ 0.001 ‘**’ 0.01 ‘*’ 0.05 ‘.’ 0.1 ‘ ’ 1 > TukeyHSD(anovaloaiBDSDTdangtincay) Tukey multiple comparisons of means 95% family-wise confidence level Fit: aov(formula = BDSDT.dang.tin.cay ~ Loai, data = MauDN) $Loai diff lwr upr p adj DN khac-Co phan -0.09523810 -1.0130622 0.82258597 0.9985015 DNNN-Co phan -0.48484848 -1.6218986 0.65220158 0.7632787 Niem yet-Co phan -0.75757576 -1.4897461 -0.02540544 0.0386881 Von nuoc ngoai-Co phan -0.39393939 -1.2994100 0.51153116 0.7496077 DNNN-DN khac -0.38961039 -1.5902527 0.81103188 0.8974412 Niem yet-DN khac -0.66233766 -1.4898232 0.16514792 0.1811055 Von nuoc ngoai-DN khac -0.29870130 -1.2828435 0.68544093 0.9178607 Niem yet-DNNN -0.27272727 -1.3381916 0.79273704 0.9544033 Von nuoc ngoai-DNNN 0.09090909 -1.1003162 1.28213441 0.9995536 Von nuoc ngoai-Niem yet 0.36363636 -0.4501255 1.17739818 0.7305465 > anovaloaiTSCDHHdangtincay = aov(TSCDHH..dang.tin.cay~Loai, data=MauDN) > summary(anovaloaiTSCDHHdangtincay) Df Sum Sq Mean Sq F value Pr(>F) 186ii Loai 4 1.71 0.4272 0.274 0.894 Residuals 134 208.72 1.5576 > anovaloaiTSVHdangtincay = aov(TSVH.dang.tin.cay~Loai, data=MauDN) > summary(anovaloaiTSVHdangtincay) Df Sum Sq Mean Sq F value Pr(>F) Loai 4 0.78 0.1957 0.135 0.969 Residuals 134 194.96 1.4549 > anovaloaiTSTCdangtincay = aov(TSTC.dang.tin.cay~Loai, data=MauDN) > summary(anovaloaiTSTCdangtincay) Df Sum Sq Mean Sq F value Pr(>F) Loai 4 2.47 0.6185 0.52 0.721 Residuals 134 159.32 1.1890 > > anovaloaiBDSDTCPcao = aov(BDSDT.chi.phi.cao~Loai, data=MauDN) > summary(anovaloaiBDSDTCPcao) Df Sum Sq Mean Sq F value Pr(>F) Loai 4 11.37 2.841 2.112 0.0827 . Residuals 134 180.25 1.345 --- Signif. codes: 0 ‘***’ 0.001 ‘**’ 0.01 ‘*’ 0.05 ‘.’ 0.1 ‘ ’ 1 > anovaloaiTSCDHHCPcao = aov(TSCDHH.chi.phi.cao~Loai, data=MauDN) > summary(anovaloaiTSCDHHCPcao) Df Sum Sq Mean Sq F value Pr(>F) Loai 4 14.48 3.621 3.114 0.0174 * Residuals 134 155.80 1.163 --- Signif. codes: 0 ‘***’ 0.001 ‘**’ 0.01 ‘*’ 0.05 ‘.’ 0.1 ‘ ’ 1 > TukeyHSD(anovaloaiTSCDHHCPcao) Tukey multiple comparisons of means 95% family-wise confidence level Fit: aov(formula = TSCDHH.chi.phi.cao ~ Loai, data = MauDN) $Loai diff lwr upr p adj DN khac-Co phan 0.542857143 -0.30552398 1.3912383 0.3957171 DNNN-Co phan -0.206060606 -1.25708099 0.8449598 0.9827214 Niem yet-Co phan 0.666666667 -0.01010734 1.3434407 0.0556767 Von nuoc ngoai-Co phan 0.657575758 -0.17938652 1.4945380 0.1965178 DNNN-DN khac -0.748917749 -1.85871892 0.3608834 0.3407179 Niem yet-DN khac 0.123809524 -0.64106815 0.8886872 0.9916102 Von nuoc ngoai-DN khac 0.114718615 -0.79496301 1.0244002 0.9967915 Niem yet-DNNN 0.872727273 -0.11212357 1.8575781 0.1085120 Von nuoc ngoai-DNNN 0.863636364 -0.23746035 1.9647331 0.1979486 Von nuoc ngoai-Niem yet -0.009090909 -0.76128317 0.7431013 0.9999997 > anovaloaiTSVHCPcao = aov(TSVH.chi.phi.cao~Loai, data=MauDN) > summary(anovaloaiTSVHCPcao) Df Sum Sq Mean Sq F value Pr(>F) Loai 4 9.54 2.385 1.943 0.107 Residuals 134 164.47 1.227 > anovaloaiTSTCCPcao = aov(TSTC.chi.phi.cao~Loai, data=MauDN) > summary(anovaloaiTSTCCPcao) Df Sum Sq Mean Sq F value Pr(>F) 187ii Loai 4 2.87 0.7167 0.494 0.74 Residuals 134 194.26 1.4497 > > anovaloaiBDSDTCBthongtin = aov(BDSDT.cong.bo.thong.tin~Loai, data=MauDN) > summary(anovaloaiBDSDTCBthongtin) Df Sum Sq Mean Sq F value Pr(>F) Loai 4 9.78 2.444 1.66 0.163 Residuals 134 197.35 1.473 > anovaloaiTSCDHHCBthongtin = aov(TSCDHH.cong.bo.thong.tin~Loai, data=MauDN) > summary(anovaloaiTSCDHHCBthongtin) Df Sum Sq Mean Sq F value Pr(>F) Loai 4 6.51 1.628 0.932 0.448 Residuals 134 234.12 1.747 > anovaloaiTSVHCBthongtin = aov(TSVH.cong.bo.thong.tin~Loai, data=MauDN) > summary(anovaloaiTSVHCBthongtin) Df Sum Sq Mean Sq F value Pr(>F) Loai 4 6.77 1.691 1.094 0.362 Residuals 134 207.21 1.546 > anovaloaiTSTCCBthongtin = aov(TSTC.cong.bo.thong.tin~Loai, data=MauDN) > summary(anovaloaiTSTCCBthongtin) Df Sum Sq Mean Sq F value Pr(>F) Loai 4 9.47 2.368 1.422 0.23 Residuals 134 223.12 1.665 188ii