Regression Analysis / Data Analytics in Regression

Regression Analysis / Data Analytics in Regression

November, 2019.

Get marketable and highly sought after skills in this course while substantially increasing your knowledge of data analytics in regression. All course videos created and narrated by an award winning instructor and textbook author of quantitative methods.

This course covers running and evaluating linear regression models (simple regression, multiple regression, and hierarchical regression), including assessing the overall quality of models and interpreting individual predictors for significance. R-Square is explored in depth, including how to interpret R-Square for significance. Together with coverage of simple, multiple and hierarchical regression, we'll also explore correlation, an important statistical procedure that is closely related to regression. 

By the end of this course you will be skilled in running and interpreting your own linear regression analyses, as well as critically evaluating the work of others. Examples of running regression in both SPSS and Excel programs provided. Lectures provided in high quality, HD video with course quizzes available to help cement the concepts. Taught by a PhD award-winning university instructor with over 15 years of teaching experience. At Quantitative Specialists, our highest priority is in creating crystal-clear, accurate, easy-to-follow videos. 

Tame the regression beast once and for all – enroll today!

Gain Important and Highly Marketable Skills in Regression Analysis - Tame the Regression Beast Today!

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What you will learn

• Understand when to use simple, multiple, and hierarchical regression
• Understand the meaning of R-Square and the role it plays in regression
• Assess a regression model for statistical significance, including both the overall model and the individual predictors

Rating: 4.58163

Level: All Levels

Duration: 2 hours

Instructor: Quantitative Specialists