LinearRegression

1. Exploratory Data Analysis, Feature Engineering
2. Linear Regression:

   1. EDA:

   2. Residual Plots

   3. Handling Multicollinear Features using VIF

   4. Detecting Outliers using Cook's Distance and Studentized Residual Test

   5. Feature Selection and Analysis using Pvalue, Anova Type 1 and Anova Type 2 Tests

   6. Bootstrapping for getting confidence intervals of predictions and models.

   7. Explainability:

   8. Metric Graph