ynum-x1num-x2num-anova
(0.0) Assumptions
(0.1) If sample data used, sample is randomly selected from population
(0.2) y = linear( x )
(0.3) residuals = y_obs - y_pred
= evenly scattered
= equal variance
(0.4) r = rho = correl
= Multiple R
r^2 = rho^2 = R Square
= % Data Explained by Model
(0.5)
+-- Histogram of Residuals
+-- BoxPlots
Excel: Data: Data Analysis: Anova Single Factor
(1.0) Multi-collinearity
(1.1) Remove one variable
(1.2) Regularisation
Add penalty
Ridge Regression
Lasso Regression

