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
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
MATLAB: An Introduction with Applications
6th Edition
ISBN:9781119256830
Author:Amos Gilat
Publisher:Amos Gilat
Chapter1: Starting With Matlab
Section: Chapter Questions
Problem 1P
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For example, for student ID s1243657, the 4th digital of s1243657 is “3”, therefore variable “A” is “Use interactive activities”; the 5th digital of s1243657 is “6”, therefore variable “B” is “Give a lot of assignments”; the 6th digital of s1243657 is “5”, therefore variable “C” is “Good communication skills. Student ID s12042516 as the case, the 4th digital is “4”, the 5th digital is 2, the 6th 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.
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