TABLE 12-9
It is believed that, the average numbers of hours spent studying per day (HOURS) during undergraduate education should have a positive linear relationship with the starting salary (SALARY, measured in thousands of dollars per month) after graduation. Given below is the Microsoft Excel output for predicting starting salary (Y) using number of hours spent studying per day (X) for a sample of 51 students. NOTE: Only partial output is shown.

Note: 2.051E-05 = 2.051 * 10-0.5 and 5.944E-18 = 5.944 * 10-18.
-The width of the prediction interval for the predicted value of Y is dependent on
A) the standard error of the estimate.
B) the value of X for which the prediction is being made.
C) the sample size.
D) all of the above

Question

TABLE 12-9
It is believed that, the average numbers of hours spent studying per day (HOURS) during undergraduate education should have a positive linear relationship with the starting salary (SALARY, measured in thousands of dollars per month) after graduation. Given below is the Microsoft Excel output for predicting starting salary (Y) using number of hours spent studying per day (X) for a sample of 51 students. NOTE: Only partial output is shown.
  
Note: 2.051E-05 = 2.051 * 10-0.5 and 5.944E-18 = 5.944 * 10-18.
-The width of the prediction interval for the predicted value of Y is dependent on
A) the standard error of the estimate. 
B) the value of X for which the prediction is being made. 
C) the sample size. 
D) all of the above

Quizplus · Accepted Answer

The width of the prediction interval is influenced by the standard error of the estimate, the specific value of X, and the sample size, as all these factors affect the variability and confidence in the prediction.

TABLE 12-9 It Is Believed That, the Average Numbers of Hours Spent