The statistical significance of a regression model is determined by a F-test.

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The statistical significance of a regression model is typically determined by an F-test, which assesses the overall fit of the model and compares it to a null model with no predictors. The F-test results in a p-value, which indicates the probability of obtaining the observed F-statistic by chance if the null model were true. A small p-value (usually less than 0.05) suggests that the model's fit is significantly better than the null model, and the predictors in the model are significant.

The Statistical Significance of a Regression Model Is Determined by a F-Test