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Regression in Python

How to Perform a Durbin-Watson Test in Python

One of the assumptions of linear regression is that there is no correlation between the residuals. In other words, the residuals are assumed to be independent. One...

How to Create a Residual Plot in Python

A residual plot is a type of plot that displays the fitted values against the residual values for a regression model. This type of plot is often...

How to Calculate VIF in Python

Multicollinearity in regression analysis occurs when two or more explanatory variables are highly correlated with each other, such that they do not provide unique...

How to Perform a Breusch-Pagan Test in Python

In regression analysis, heteroscedasticity refers to the unequal scatter of residuals. Specifically, it refers to the case where there is a systematic change in the spread...

How to Create a Q-Q Plot in Python

A Q-Q plot, short for “quantile-quantile” plot, is often used to assess whether or not a set of data potentially came from some theoretical distribution. In...

How to Perform a Jarque-Bera Test in Python

The Jarque-Bera test is a goodness-of-fit test that determines whether or not sample data have skewness and kurtosis that matches a normal distribution. The test...

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