A prediction equation for starting salaries (in $1,000s)and SAT scores was performed using simple linear regression.In the regression printout shown below,what can be said about the level of significance for the overall model?
A)SAT is not a good predictor for starting salary.
B)The significance level for the intercept indicates the model is not valid.
C)The significance level for SAT indicates the slope is equal to zero.
D)The significance level for SAT indicates the slope is not equal to zero.
E)None of the above

Question

A prediction equation for starting salaries (in $1,000s)and SAT scores was performed using simple linear regression.In the regression printout shown below,what can be said about the level of significance for the overall model? 
A)SAT is not a good predictor for starting salary. 
B)The significance level for the intercept indicates the model is not valid. 
C)The significance level for SAT indicates the slope is equal to zero. 
D)The significance level for SAT indicates the slope is not equal to zero. 
E)None of the above

Quizplus · Accepted Answer

The significance level for SAT is given as 0.0001, which is less than the typical alpha level of 0.05. This indicates that the slope for SAT is statistically significant and not equal to zero, meaning that SAT is a significant predictor of starting salary. Therefore, option D is the correct answer. Options A and B are incorrect because the model overall and the intercept do not have significance levels reported. Option C is incorrect because the significance level for SAT indicates the slope is not equal to zero, rather than equal to zero.

A Prediction Equation for Starting Salaries (In $1,000s)and SAT Scores