In the likelihood ratio test of the overall regression model, if the null hypothesis, H₀: $\beta$₁= $\beta$₂=... = $\beta$_m =0, is rejected, it means that A) the baseline model fits the data well. B) the baseline model has better fit than the regression model. C) the baseline model fits the data as well as the regression model. D) the regression model has better fit than the baseline model.

Question

Quizplus · Accepted Answer

Rejecting the null hypothesis in a likelihood ratio test of the overall regression model indicates that at least one of the predictors in the model has a statistically significant relationship with the response variable, suggesting that the regression model provides a better fit to the data than the baseline model, which includes no predictors.

In the Likelihood Ratio Test of the Overall Regression Model β\betaβ

In the Likelihood Ratio Test of the Overall Regression Model $\beta$