For the same set of observations on a specified dependent variable, two different independent variables were used to develop two separate simple linear regression models. A portion of the results is presented below. Based on the results given above, we can conclude that
A) a prediction based on Model 1 is better than a prediction based on Model 2.
B) a prediction based on Model 2 is better than a prediction based on Model 1.
C) there is no difference in the predictive ability between Model 1 and Model 2.
D) there is not sufficient information to determine which of the two models is superior for prediction purposes.

Question

For the same set of observations on a specified dependent variable, two different independent variables were used to develop two separate simple linear regression models. A portion of the results is presented below.  Based on the results given above, we can conclude that
A) a prediction based on Model 1 is better than a prediction based on Model 2. 
B) a prediction based on Model 2 is better than a prediction based on Model 1. 
C) there is no difference in the predictive ability between Model 1 and Model 2. 
D) there is not sufficient information to determine which of the two models is superior for prediction purposes.

Quizplus · Accepted Answer

The larger the r², the better the prediction model.

For the Same Set of Observations on a Specified Dependent