Introduction to Statistical Concepts IV: Correlation and Linear Regression

Understanding relationships is a key part of the scientific inquiry process. You will learn how to describe relationships between two numerical quantities through correlation measures and simple linear regression models. This will also be extended to multiple linear regression for including additional predictor variables. Specific topics include:

– correlation vs causation
– interpretation of regression model coefficients
– assessing the “fit” of a model
– model selection