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.