Correlation and Regression / Section 03: Regression Interpretation

Tags
data, Data Sense, statistics, lecture, data analysis, data science, Kendall Hunt, Kendall Hunt Publishing Company, assumption, residuals, error, predicted values, outliers, regression to the mean
Description:
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 03: Regression Interpretation. It explains how certain assumptions about the data must be met for regression to give accurate information. Residuals can help check the assumptions. In addition the potentially misleading effects of outliers and regression to the mean are discussed. The book and complete set of videos may be purchased at http://kendallhunt.com/poulson/.