Correlation Analysis in R

In this video, I demonstrate how to perform a correlation analysis in R, an important step before running a regression analysis. You will learn how to: a) Assess correlations between quantitative predictors and the outcome. b) Examine correlations among quantitative predictors to check for collinearity. c) Explore relationships between qualitative predictors and the outcome. Understanding these correlations will help you make better decisions when building a regression model and interpreting the regression results. Here is a link to the R notebook I used in this video: https://drive.google.com/file/d/19esP...