Below are the results of a survey of America's best graduate and professional schools. The top 25 business schools, as determined by reputation, student selectivity. placement auccess, and graduation rate, are listed in the table. For each achool, thres variables were measured: (1) GMAT acore for the typical incoming student; (2) student acceptance rate (percentage accepted of all studentas who applied); and (3) atarting salary of the typical graduating student. School Наrvard Acc. Rate Salary 63,000 60,000 GMAT 1. 644 15.0% 2. Stanford 665 10.2 3. Репn 644 19.4 55,000 4. Northwestern 640 22.6 54,000 MIT Chicago Duke 5. 650 21.3 57,000 6. 632 30.0 55,269 7. 630 18.2 53,300 52,000 55,269 53.300 8. Dartmouth 649 13.4 Virginia Michigan Columbia 9. 630 23.0 10. 620 32.4 11. 635 37.1 52,000 648 630 12. Cornell 14.9 50,700 13. CMU 31.2 52,050 14. UNC 625 15.4 S0,800 15. Cal-Berkeley 634 24.7 S0,000 16. UCLA 640 20.7 51,494 17. Texas 612 28.1 43,985 18. Indiana 600 29.0 44,119 19. NYU 610 35.0 53,161 20. Purdue 595 26.8 43,500 21. USC 610 31.9 49,080 22. Pittsburgh Georgetown 617 Maryland Rochester 605 33.0 43,500 23. 31.7 45,156 24. 593 28.1 42,925 25. 605 35.9 44,499 The academic advisor wants to predict the typical starting salary of a graduate at a top businees school using GMAT score of the school as a predictor variable. A simple regression of SALARY versus GMAT using the 25 data points in the table are shown below. Apm-92040 P-228 N-3213 r²-0.80 df-23 -8.67 1. Write the equation of the probabilistic model of interest. 2. Write the equation of the regression line. 3. Give a practical interpretation of Bo = – 92040. 4. Give a practical interpretation of ß1 = 228.
Below are the results of a survey of America's best graduate and professional schools. The top 25 business schools, as determined by reputation, student selectivity. placement auccess, and graduation rate, are listed in the table. For each achool, thres variables were measured: (1) GMAT acore for the typical incoming student; (2) student acceptance rate (percentage accepted of all studentas who applied); and (3) atarting salary of the typical graduating student. School Наrvard Acc. Rate Salary 63,000 60,000 GMAT 1. 644 15.0% 2. Stanford 665 10.2 3. Репn 644 19.4 55,000 4. Northwestern 640 22.6 54,000 MIT Chicago Duke 5. 650 21.3 57,000 6. 632 30.0 55,269 7. 630 18.2 53,300 52,000 55,269 53.300 8. Dartmouth 649 13.4 Virginia Michigan Columbia 9. 630 23.0 10. 620 32.4 11. 635 37.1 52,000 648 630 12. Cornell 14.9 50,700 13. CMU 31.2 52,050 14. UNC 625 15.4 S0,800 15. Cal-Berkeley 634 24.7 S0,000 16. UCLA 640 20.7 51,494 17. Texas 612 28.1 43,985 18. Indiana 600 29.0 44,119 19. NYU 610 35.0 53,161 20. Purdue 595 26.8 43,500 21. USC 610 31.9 49,080 22. Pittsburgh Georgetown 617 Maryland Rochester 605 33.0 43,500 23. 31.7 45,156 24. 593 28.1 42,925 25. 605 35.9 44,499 The academic advisor wants to predict the typical starting salary of a graduate at a top businees school using GMAT score of the school as a predictor variable. A simple regression of SALARY versus GMAT using the 25 data points in the table are shown below. Apm-92040 P-228 N-3213 r²-0.80 df-23 -8.67 1. Write the equation of the probabilistic model of interest. 2. Write the equation of the regression line. 3. Give a practical interpretation of Bo = – 92040. 4. Give a practical interpretation of ß1 = 228.
MATLAB: An Introduction with Applications
6th Edition
ISBN:9781119256830
Author:Amos Gilat
Publisher:Amos Gilat
Chapter1: Starting With Matlab
Section: Chapter Questions
Problem 1P
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Transcribed Image Text:Below are the results of a survey of America's best graduate and professional schools.
The top 25 business schools, as determined by reputation, student selectivity.
placement auccess, and graduation rate, are listed in the table. For each achool, thres
variables were measured: (1) GMAT acore for the typical incoming student; (2) student
acceptance rate (percentage accepted of all studentas who applied); and (3) atarting
salary of the typical graduating student.
School
Наrvard
Acc. Rate Salary
63,000
60,000
GMAT
1.
644
15.0%
2.
Stanford
665
10.2
3.
Репn
644
19.4
55,000
4.
Northwestern 640
22.6
54,000
MIT
Chicago
Duke
5.
650
21.3
57,000
6.
632
30.0
55,269
7.
630
18.2
53,300
52,000
55,269
53.300
8.
Dartmouth
649
13.4
Virginia
Michigan
Columbia
9.
630
23.0
10.
620
32.4
11.
635
37.1
52,000
648
630
12.
Cornell
14.9
50,700
13.
CMU
31.2
52,050
14.
UNC
625
15.4
S0,800
15.
Cal-Berkeley 634
24.7
S0,000
16.
UCLA
640
20.7
51,494
17.
Texas
612
28.1
43,985
18.
Indiana
600
29.0
44,119
19.
NYU
610
35.0
53,161
20.
Purdue
595
26.8
43,500
21.
USC
610
31.9
49,080
22.
Pittsburgh
Georgetown 617
Maryland
Rochester
605
33.0
43,500
23.
31.7
45,156
24.
593
28.1
42,925
25.
605
35.9
44,499
The academic advisor wants to predict the typical starting salary of a graduate at a top
businees school using GMAT score of the school as a predictor variable. A simple
regression of SALARY versus GMAT using the 25 data points in the table are shown
below.
Apm-92040
P-228
N-3213
r²-0.80
df-23
-8.67
Transcribed Image Text:1. Write the equation of the probabilistic model of interest.
2. Write the equation of the regression line.
3. Give a practical interpretation of Bo = – 92040.
4. Give a practical interpretation of ß1 = 228.
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