What is the importance of Adjusted R-square, F-test, T-test in a Regression model.

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Accepted Answer

Adjusted R-square, F-test, T-test are important statistical measures to evaluate the accuracy and significance of a regression model.

Adjusted R-square measures the proportion of variation in the dependent variable that is explained by the independent variables in the model.
F-test is used to test the overall significance of the model by comparing the variation explained by the model to the variation not explained by the model.
T-test is used to test the significance of individual coefficients in the model.
These measures help in selecting the best model and identifying the most important variables.
For example, in a medical study, adjusted R-square can help determine the effectiveness of a treatment, while F-test and T-test can identify the significant predictors of the outcome.

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