Lecture video for “Data Sense: An Introduction to Statistics for the Behavioral Sciences” by Barton Poulson. This video covers Chapter 11: Correlation and Regression, Section 04: Hypotheses and Effect Sizes. It explains how to frame the hypotheses for the correlation coefficient, r, as well as the separate hypotheses for the intercept and slope in regression. It also explains how R-squared is used as a measure of effect size for correlation and regression. The book and complete set of videos may be purchased at http://kendallhunt.com/poulson/.