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What is a Pseudo R-squared?

When running an ordinary least squares (OLS) regression, one common metric to assess model fit is the R-squared (R2). The R2 metric can is calculated as follows. R2 = 1 – [Σi(yi-ŷi)2]/[Σi(yi-ȳ)2] The dependent variable is y, the predicted value from the OLS regression is ŷ, and the average value of y across all observations […]

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