Model Summary Adjusted R Square 244 Std. Error of the R Square 263 Model R Estimate 1.26364 513 a. Predictors: (Constant), A, B , C ANOVA Model Sum of Squares 66.240 185.227 Mean Square 22.080 1.597 Sig .000" df Regression Residual 3 13.828 116 Total 251.467 119 a. Dependent Variable: Satisfaction toward e-learning b. Predictors: (Constant), A, B , C Coefficients Standardized Coefficients Beta Unstandardized Coefficients Sig. .000 .000 .042 .085 Model В Std. Error t (Constant) 2.153 .439 -.147 .145 .456 .074 .072 .084 .490 -.172 143 4.724 5.904 -2.059 1.740 ABC

For example, for student ID s1243657, the 4^th digital of s1243657 is “3”, therefore variable “A” is “Use interactive activities”; the 5^th digital of s1243657 is “6”, therefore variable “B” is “Give a lot of assignments”; the 6^th digital of s1243657 is “5”, therefore variable “C” is “Good communication skills. Student ID s12042516 as the case, the 4^th digital is “4”, the 5^th digital is 2, the 6^th digital is 5.

With the data collected, Dr Tian ran a test to see if there were significant relationships between A, B, C and satisfaction toward e-learning.

I) Interpret the result and provide insightful remarks.