Intermediate Regression in R

Description

In this course, you will :

• Extend your linear regression knowledge to "parallel slopes" regression, which uses one numerical and one categorical explanatory variable.
• Explore the impact of explanatory variable interactions. Taking interactions into account allows for more realistic models with higher predictive power.
• See how modelling, and particularly linear regression, makes it simple to work with more than two explanatory variables.
• Expand your logistic regression knowledge to include multiple explanatory variables. Understand the logistic distribution, which serves as the foundation for this type of regression.

Syllabus :

• Parallel Slopes
• Interactions
• Multiple Linear Regression
• Multiple Logistic Regression