Please select the slide you want to see: --- Unit 4: Regression Simple Regression Pearson Correlation Coefficient Prediction Example Linear Relationship Determining Y Based on X Demonstrate Use of Regression Line Line of Best Fit Determining How Well Line Fits Least Squares Solution Formulas for Finding a and b Determining Regression Equation Line of Best Fit Scatterdiagram Standard Error of Estimate Example Standard Error of Estimate Example Standard Error of Estimate Determining Standard Error of Estimate-1 Determining Standard Error of Estimate-2 Determining Standard Error of Estimate-3 Example #1 Example #2 Example #1 Example #2 Interpretation of SEE Coefficient Relationship Between SEE and Correlation Coefficient of Determination Coefficient of Non-determination Determining SS-Error Example Sample Question #1 Sample Question #2 Sample Question #3 Sample Question #4 Sample Question #5 Sample Question #6 Multiple Correlation/Regression Multiple Correlation Conceptualizing Multiple Correlation Multiple Correlation Partial Correlation Partial Correlation Partial Correlation Example Predicting Successful Football Players Multiple Correlation/Regression Stepwise Procedure Importance of Predictor Variables Evaluation of b Coefficient Example of b Coefficient Determining b Coefficient Stepwise Analyses Backward Elimination Forward Selection True Stepwise Multiple Regression Example Stepwise Analyses Backward Elimination Computer Printout Printout (cont'd) Printout (cont'd) Printout (cont'd) Forward Selection Printout (cont'd) True Stepwise Printout (cont'd) Multiple Correlation Partial Correlations Partial Correlations Partial Correlation Example Multiple Correlation/Regression Importance of Predictor Variables Evaluation of b Coefficient Example of b Coefficient Determining b Coefficient