When examining regression results, how well the model fits the data is determined by consulting the:
A) R-square.
B) F statistic.
C) standardised coefficient.
D) calculated t-value.

Question

Quizplus · Accepted Answer

R-square is a measure of how well the regression model fits the data. It represents the proportion of variance in the dependent variable that can be explained by the independent variables in the model. Therefore, it is the best choice to determine the model fit. The F-statistic, standardised coefficient and calculated t-value are useful in interpreting individual predictor variables and their significance in the model, but they do not provide an overall evaluation of how well the model fits the data.

When Examining Regression Results, How Well the Model Fits the Data