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ECON 213 Quiz

Time and Date: 19 Nov 2022 12:00nn - 23:59pm

Submit your answer to the Moodle link before the deadline.

Refer to the following data to answer the questions:

PAY

GMAT

TUITION

RANK

Harvard

135630

713

48738

1

Stanford

134654

721

45921

1

UPenn

132171

712

49722

3

MIT

127839

705

44792

4

UChicago

126818

709

45139

4

Dartmouth

128182

713

43240

7

Berkeley

116263

710

37949

7

Columbia

129427

707

45422

9

NYU

124752

700

41822

10

UCLA

115318

704

37286

11

U Michigan

120408

700

43289

12

Yale

118964

700

47182

13

Cornell

118888

682

44260

14

Duke

117473

690

45663

14

UVA

121279

688

42602

14

Carnegie Mellon

111996

696

45644

17

UT Austin

109871

673

38222

18

UNC

112375

681

39882

19

Indiana University

105296

656

34852

20

USC

103317

689

40550

21

ASU

98318

675

28220

22

Georgetown

108959

677

40017

22

Emory

107991

685

37576

24

U Rochester

99436

673

37791

25

Wash U

96559

674

38729

25

OSU

97622

661

35337

27

U Minnesota

100104

661

36596

27

BYU

93448

661

8700

29

Georgia Tech

88288

665

30016

29

Texas A&M

97496

665

25323

29

U Wisconsin

93097

656

26536

29

Purdue

96196

662

33462

33

Boston College

94271

651

27024

34

U Florida

70592

680

23103

34

Notre Dame

95263

673

36040

34

U Washington

93677

679

29543

34

U Illinois

92239

627

29610

38

U Maryland

99433

650

38575

39

Boston U

92634

668

35370

40

where,

PAY = average starting pay of MBA graduates

GMAT = GMAT score

TUITION = Tuition fees

RANK = Ranking of the graduate business school

a. Estimate the following multiple regression model with the data and present the regression results.

PAYi = β1 + β2 GMATi + β3 TUITIONi + β4 RANKi + ui

b. Interpret the intercept and the (partial) slope coefficients, do the results make economic sense?

c. Suppose TSS is 8.847E+09, using ESS and TSS to show your calculation of R2 and Adjusted R2, 2.

d. Interpret R2.

e. Conduct the Jarque-Bera test to test for the normality of the error term (use P-value). Why do we need to do normality test?

Note that for the following questions related to hypothesis testing, you have to show the process of computing the t and F statistics.

f. Test whet