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R 2 is a statistical measure of the goodness of fit of a linear regression model (from 0.00 to 1.00), also known as the coefficient of determination. In general, the higher the R 2 , the better ...
But once you add at least one independent variable, like fuel prices or travellers’ purchasing power, this would be an example of multiple regression analysis. #2 Lasso regression Source: cvxpy.org ...