Innovar y transformar desde las disciplinas: experiencias claves en la educación superior en América Latina y el Caribe 2021-2022

3 Table 15. Linear Regression Analysis Model Summary Model R R square R squared fitted Standard error of the estimate 1 , 918a , 843 , 835 , 23715 a. Predictors: (Constant), CAE, CHT, CEC, CPE, CEU. The correlation of the AR variable with the HE dimensions is 91.80%. The determina- tion coefficient indicates that 84.30% of the variation that occurs in the AR variable is explained by the dimensions; CAE, CHT, CEC, CPE, CEU. The 15.70% difference is due to other factors. Table 16. Anova result ANOVA a Model Sum of squares gl Quadratic mean F Sig. 1 Regression Residue Total 28,423 5,287 33,710 5 94 99 5,685 , 056 101,080 .000b a . Dependent variable: AR. b. Predictors: (Constant), CAE, CHT, CEC, CPE, CEU. The analysis of variance applied through the type of regression and linear correlation showed that this relationship is significant due to the result of (p <0.05), therefore, the re is a strong correlation between the predictors of HE and AR from the virtual learning. Table 17. Contribution of Dimensions Coefficients Model Non- standardized coefficients Standardized coefficients t Sig. B Dev. Error Beta 1 (Constant) 0.630 , 224 2,810 , 005 How do you study , 455 , 058 , 554 7,865 , 002 How do you do your homework? - .012 .040 - , 134 - .305 .001 How do you prepare your exams? - , 142 .050 - . 185 - 2,859 .001 How do you listen to his classes , 374 , 053 , 456 7,111 , 000 How it accompanies your studies .095 , 071 , 380 1,333 , 003 a. Dependent variable: AR. 959