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1) The R-squared (R2) measures how well the regression line approximates the real data points, while the standard error of the regression (SER) measures how concentrated the data points are around the regression line. 2) When comparing regression models, the adjusted R-squared should be used instead of R2 because it accounts for the number of variables in the model. 3) T-tests and F-tests are used to test if regression coefficients and the overall model are statistically significant based on their calcu

Author

bassirou ndao

Language

EN