Linear Regression: Uses and Interpretations

by E. Wayne Courtney

The text is organized for instructional use in a traditional lecture-discussion setting or as a learning module that utilizes the principles of mastery learning, self-pacing, and competency-based performance criteria. The topic of linear regression is an advanced statistical method, but the subject matter is written for the non-math audience without delving into the complex design prototypes and mathematical calculations that are unique to regression analysis. The text includes interpretations, with practical examples using line plotting to interpret the results of linear regression as a venue for solving research problems. Pragmatic results are integrated into the text to facilitate an understanding of the subject matter in the book. The text does not detail the more complex facets of calculations, but includes information covering the use of the regression statistic, interpretation of factor loading, and graphic illustrations covering regression analysis interpretation.

27 pages, Kindle Edition

Published April 28, 2017