Question: analyze the regression model + Regression Descriptive Statistics Mean Std. Deviation N End-of-Training Score 47.55 19.069 29 Proficiency Before the 103.79 11.194 29 Training Courseware
analyze the regression model
+ Regression Descriptive Statistics Mean Std. Deviation N End-of-Training Score 47.55 19.069 29 Proficiency Before the 103.79 11.194 29 Training Courseware 3103 47082 29 Online 3448 48373 29 Classroom 3448 48373 29 Correlations Proficiency End- of- Before the Training Score Training Courseware Online Classroom Pearson Correlation End-of-Training Score 1.000 .562 088 497 583 Proficiency Before the 562 1.000 -.082 .033 .113 Training Courseware 088 .082 1.000 -.487 .487 Online 497 ..033 487 1.000 -.526 Classroom -.583 .113 .487 .526 1.000 Sig. (1-tailed) End-of-Training Score 4.001 326 003 :.001 Proficiency Before the .001 336 433 280 Training Courseware 326 336 004 004 Online 003 433 004 002 Classroom 000 280 004 002 N End-of-Training Score 29 29 29 29 29 Proficiency Before the 29 29 29 29 29 Training Courseware 29 29 29 29 29 Online 29 29 29 29 29 Classroom 29 29 29 29 29 Variables Entered/Removed* Variables Variables Model Entered Removed Method Classroom, Enter Proficiency Before the Training, Courseware " a. Dependent Variable: End-of-Training Score b. Tolerance = .000 limit reachedStep by Step Solution
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