Overheard at the water cooler: My regression model of demand is better than the one that the consultant prepared for us because it has a higher R2. Besides, my equation has three more independent variables and so is more complete then the consultant's. Comment on this statement. Would you agree with the speaker? Explain.
The correlation coefficient, or R squared, measures the measures the strength of the linear association between a dependent and a number of independent variables. Increasing the number of independent variables in a multiple regression will generally increase the R^2, but it isn't a good way to do it. ...
Comparison of regression models based on R squared.