Regression analysis for sat score


Assignment:

Q1. Thirteen students entered the undergraduate business program at Rollins College two years ago. The following table indicates what their grade-point averages (GPAs) were after being in the program for two years and what each student scored on one part of the SAT exam when he or she was in high school. Is there a meaningful relationship between grades and SAT scores? If a student scores a 450 on the SAT, what do you think his or her GPA will be? What about a student who scores 800?

Student

SAT Score

GPA

 

Student

SAT Score

GPA

A

421

2.90

 

H

481

2.53

B

377

2.93

 

I

729

3.22

C

585

3.00

 

J

501

1.99

D

690

3.45

 

K

613

2.75

E

608

3.66

 

L

709

3.90

F

390

2.88

 

M

366

1.60

G

415

2.15

 

 

 

 

Q2. The following data give the selling price, square footage, number of bedrooms, and age of houses that have sold in a neighborhood in the last 6 months. Develop three regression models to predict the selling price base~ upon each of' the other factors individually. Which of these is best?

Selling Price

Square Footage

Bedrooms

Age

64000

1670

2

30

59000

1339

2

25

61500

1712

3

30

79000

1840

3

40

87500

2300

3

18

92500

2234

3

30

95000

2311

3

19

113000

2377

3

7

115000

2736

4

10

138000

2500

3

1

142500

2500

4

3

144000

2479

3

3

145000

2400

3

1

147500

3124

4

0

144000

2500

3

2

155500

4062

4

10

165000

2854

3

3

Q3. A sample of twenty automobiles was taken, and the miles per gallon (MPG), horsepower, and total weight were recorded. Develop a linear regression model to predict MPG using horsepower as the only independent variable. Develop another model with weight as the independent variable. Which of these two models is better? Explain.

MPG

Horsepower

Weight

37

66

1797

34

63

2199

35

90

2404

32

99

2611

30

63

3236

28

91

2606

26

94

2580

26

88

2507

25

124

2922

22

97

2434

20

114

3248

21

102

2812

18

114

3382

18

142

3197

16

153

4380

16

139

4036

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Basic Statistics: Regression analysis for sat score
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