Regression in Python

A residual is the difference between an observed value and a predicted value in a…

Cook’s distance is used to identify influential observations in a regression model. The formula for Cook’s…

A studentized residual is simply a residual divided by its estimated standard deviation. In practice,…

R-squared, often written R2, is the proportion of the variance in the response variable that can…

Quadratic regression is a type of regression we can use to quantify the relationship between…

Regression analysis is used to quantify the relationship between one or more explanatory variables and…

Linear regression is a method we can use to understand the relationship between one or more…

An Anderson-Darling Test is a goodness of fit test that measures how well your data fit…

One of the assumptions of linear regression is that there is no correlation between the residuals. In…

A residual plot is a type of plot that displays the fitted values against the residual values…