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.
-Referring to Table 12-9, the 90% confidence interval for the average change in SALARY (in thousands of dollars)as a result of spending an extra hour per day studying is
A) wider than [-2.70159, -1.08654].
B) narrower than [-2.70159, -1.08654].
C) wider than [0.8321927, 1.12697].
D) narrower than [0.8321927, 1.12697].

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.
-Referring to Table 12-9, the 90% confidence interval for the average change in SALARY (in thousands of dollars)as a result of spending an extra hour per day studying is
A) wider than [-2.70159, -1.08654]. 
B) narrower than [-2.70159, -1.08654]. 
C) wider than [0.8321927, 1.12697]. 
D) narrower than [0.8321927, 1.12697].

Quizplus · Accepted Answer

The Answer of 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.
-Referring to Table 12-9, the 90% confidence interval for the average change in SALARY (in thousands of dollars)as a result of spending an extra hour per day studying is
A) wider than [-2.70159, -1.08654]. 
B) narrower than [-2.70159, -1.08654]. 
C) wider than [0.8321927, 1.12697]. 
D) narrower than [0.8321927, 1.12697].

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