23_Multiple Regression (Part 1 of 2)

Statistics for the Social Sciences

Dive deep into the world of statistical analysis with this enlightening episode of our educational podcast, where we explore the intricacies of “Multiple Regression.” Building on our previous discussions on simple linear regression, this episode delves into scenarios involving multiple predictors to understand complex relationships between variables.

Our host expertly walks listeners through the concept of multiple regression, demonstrating its application using real data from the General Social Survey (GSS). The focus is on how different variables, such as age, can predict political views, highlighting the process of interpreting statistical outputs and recoding variables to better fit analytical models.

Listeners will gain practical insights into setting up their regression analyses, choosing appropriate independent variables, and understanding the nuances of statistical outputs like the T-statistic and P-values. The episode is particularly valuable for students working on final projects or anyone interested in enhancing their statistical analysis skills.

Key topics include the effect of age on political ideologies, the significance of adding multiple variables to enhance model accuracy, and practical tips for interpreting complex datasets. By the end of this session, you'll be better equipped to analyze your data, understand the impact of various predictors, and appreciate the power of multiple regression in research and data analysis. Join us as we simplify these concepts and set the stage for more advanced discussions in Part 2.

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Textbook: ⁠⁠Statistics: Unlocking the Power of Data⁠⁠

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