Question

Each year U.S. News & World Report conducts its "Survey of America's Best Graduate and Professional...

Each year U.S. News & World Report conducts its "Survey of America's Best Graduate and Professional Schools." The top 25 business schools in 1991, as determined by reputation, student selectivity, placement success, and graduation rate, are listed in the table. For each school, three variables were measured: (1) GMAT score for the typical incoming student; (2) student acceptance rate (percentage accepted of all students who applied); and (3) starting salary of the typical graduating student.

School GMAT Acc. Rate (%) Salary ($)
1 Harvard 644 15 63,000
2 Stanford 665 10.2 60,000
3 Penn 644 19.4 55,000
4 Northwestern 640 22.6 54,000
5 MIT 650 21.3 57,000
6 Chicago 632 30 55,269
7 Duke 630 18.2 53,300
8 Dartmouth 649 13.4 52,000
9 Virginia 630 23 55,269
10 Michigan 620 32.4 53.3
11 Columbia 635 37.1 52,000
12 Cornell 648 14.9 50,700
13 CMU 630 31.2 52,050
14 UNC 625 15.4 50,800
15 Cal-Berkeley 634 24.7 50,000
16 UCLA 640 20.7 51,494
17 Texas 612 28.1 43,985
18 Indiana 600 29 44,119
19 NYU 610 35 53,161
20 Puru 595 26.8 43,500
21 USC 610 31.9 49,080
22 Pittsburgh 605 33 43,500
23 Georgetown 617 31.7 45,156
24 Maryland 593 28.1 42,925
25 Rochester 605 35.9 44,499

The academic advisor wants to predict the typical starting salary of a graduate at a top business school using GMAT score of the school as a predictor variable. A simple linear regression of SALARY versus GMAT using the 25 data points in the table are shown below.
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b0 = -92040 b1 = 228 R2 = .66
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For the situation above, give a practical interpretation of the estimated slope.

We estimate GMAT to increase 228 points for every $1 increase in SALARY.

We estimate SALARY to increase $228 for every 1-point increase in GMAT.

The value has no practical interpretation since a GMAT of 228 is nonsensical and outside the range of the sample data.

We expect to predict SALARY to within 2(228) = $456 of its true value using GMAT in a straight-line model.

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Answer #1

slope= 228

y intercept =-92040

Therefore, regression equation is ,

Salary = 228*GMAT -92040

Option B) is correct.

We estimate SALARY to increase $228 for every 1-point increase in GMAT.

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