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Adding Variables to Your Multiple Regression Model in R

R Programming 101 via YouTube

Overview

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Learn how to expand linear regression models by incorporating multiple explanatory variables, both categorical and numeric, moving beyond simple single-variable analysis. Explore the fundamental techniques of multiple regression analysis through practical demonstrations, gaining essential skills for conducting more complex statistical analyses that can reveal deeper insights from data relationships.

Syllabus

Adding variables to your multiple regression model

Taught by

R Programming 101

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