3. Linear Regression

Learning Objectives

• Perform linear regression with a single predictor variable.
• Estimate the standard error of regression coefficients.
• Evaluate the goodness of fit of a regression.
• Perform linear regression with multiple predictor variables.
• Evaluate the relative importance of variables in a multiple linear regression.
• Include interaction effects in a multiple linear regression.
• Perform linear regression with qualitative predictor variables.
• Model non-linear relationships using polynomial regression.
• Identify non-linearity in a data set.
• Compare and contrast linear regression with KNN regression.