Chapter 12: Simple and Multiple Regression

Introduction

Getting an Intuitive Feel for Regression

Describing Simple Linear Regression

Understanding How the F Value Is Computed

Investigating the Distribution of the Residuals

Measures of Influence

Demonstrating Multiple Regression

Running a Simple Linear Regression Model with Endurance and Pushups

Demonstrating the Effect of Multi-Collinearity

Demonstrating Selection Methods

Using a Categorical Variable as a Predictor in Model

Conclusion

Chapter 12 Exercises

Introduction

Correlation analysis identifies relationships between variables—regression analysis enables you to predict one variable based on values of another variable (simple regression) or a combination of variables (multiple regression). ...

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