CHAPTER 9 Correlation and Regression
CHAPTER 9 Correlation and Regression
Objectives
To introduce the concepts of correlation and regression and to begin looking at
how relationships between variables can be represented.
Contents
9.1 Scatterplot
9.2 The Relationship Between Stress and Health
9.3 The Covariance
9.4 The Pearson Product-Moment Correlation Coefficient (r)
9.5 The Regression Line
9.6 Other Ways of Fitting a Line to Data
9.7 The Accuracy of Prediction
9.8 Assumptions Underlying Regression and Correlation
9.9 Confidence Limits on Y
9.10 A Computer Example Showing the Role of Test-Taking Skills
9.11 Hypothesis Testing
9.12 One Final Example
9.13 The Role of Assumptions in Correlation and Regression
9.14 Factors that Affect the Correlation
9.15 Power Calculation for Pearson’s r
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