This is a short note based on this. Answer in short: Because different formulas are used to calculate the R-squared of a linear regression, depending on whether it has an intercept or not. R2 for a linear model that has an intercept: , where y is the variable that the linear model is trying to predict (the response variable), y^ is the predicted value and y- is the mean value of the response variable.

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Riinu Ots

if it aint broke, you’re outdated

DevOps&Data Science

Edinburgh, UK