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Linear regression is a statistical method used to understand the relationship between an outcome variable and one or more explanatory variables. It works by fitting a regression line through the ...
9.1 Linear Regression 9.1.1 Review of the basics The lm function in R constructs—as its name implies—a linear model from data. Recall that a linear model is of the form Y = β0+β1X1+...+βnXn Y = β 0 + ...
8.2. Linear regression with a single explanatory variable There are many ways to do linear regression in Python. We have already used the heavyweight Statsmodels library, so we will continue to use it ...
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