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 Answer of 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.

For the Same Set of Observations on a Specified Dependent