01. Welcome

1.1 • [10 min] FOLLOW: Effects of Multicollinearity in Regression  
Explains the effects of correlation between features and unequal variance across a feature space. 

1.2 • [45 min] FOLLOW: Evaluating Correlation in R  
Demonstrates how to evaluate correlation between two variables using parametric and non-parametric approaches. 

02. Fermentum Posuere Urna

2.1 • [45 min] FOLLOW: Evaluating Correlation in R  
Demonstrates how to evaluate correlation between two variables using parametric and non-parametric approaches. 

2.2 • [45 min] COMPLETE: Displaying the Regression Equations  
Uses R Markdown to define the regression model as an equation. 

2.3 • [30 min] READ: A Refresher on Regression Analysis  
Read this article: Gallo, A. (2015). A Refresher on Regression Analysis. Harvard Business Review, November 04, 2015.