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1. Consider the following data measured...

1. Consider the following data measured in a sample of n=25 undergraduates in an on-campus survey of health behaviors. Enter the data into an Excel worksheet for analysis.

ID Age Female Sex Year in School GPA Current Smoker # XXXXX Exercise per Week # XXXXX Number of Drinks per Week # XXXXX Coffee per Week

1 18 1 Fr 3.85 1 7 3 3

2 21 0 Jr 3.27 1 3 2 4

3 19 1 So 2.90 0 0 4 7

4 22 0 Sr 3.65 1 0 2 4

5 21 1 Sr 3.41 1 0 1 3

6 20 0 Jr 3.20 0 2 5 8

7 19 1 Jr 2.89 1 1 4 10

8 17 0 Fr 3.75 0 6 0 0

9 18 0 So 4.00 0 6 2 6

10 17 1 So 3.18 0 3 5 7

11 21 0 Jr 2.58 1 3 12 12

12 22 1 Sr 2.98 0 2 3 4

13 19 0 Fr 3.16 1 2 0 6

14 21 1 Jr 3.36 1 3 1 2

15 22 1 So 3.72 0 6 3 0

16 19 0 So 3.30 1 4 0 6

17 16 0 Fr 3.28 0 4 0 5

18 22 0 Sr 2.98 0 0 8 5

19 17 1 Fr 3.90 0 7 0 2

20 20 1 Sr 3.78 1 4 6 2

21 21 1 So 3.26 1 2 3 4

22 23 0 Jr 3.01 0 1 9 7

23 23 0 Sr 3.83 1 5 4 4

24 17 1 Fr 3.76 0 5 2 1

25 22 1 Sr 3.05 0 1 5 5

2. Estimate the simple linear regression equation relating number of cups of coffee per week to GPA (Consider GPA the dependent or outcome variable).

3. Estimate the simple linear regression equation relating female sex to GPA (Consider GPA the dependent or outcome variable).

4. Estimate the multiple linear regression equation relating number of cups of coffee per week, female sex and number of hours of exercise per week to GPA (Consider GPA the dependent or outcome variable).

ID Age Female Sex Year in School GPA Current Smoker # XXXXX Exercise per Week # XXXXX Number of Drinks per Week # XXXXX Coffee per Week

1 18 1 Fr 3.85 1 7 3 3

2 21 0 Jr 3.27 1 3 2 4

3 19 1 So 2.90 0 0 4 7

4 22 0 Sr 3.65 1 0 2 4

5 21 1 Sr 3.41 1 0 1 3

6 20 0 Jr 3.20 0 2 5 8

7 19 1 Jr 2.89 1 1 4 10

8 17 0 Fr 3.75 0 6 0 0

9 18 0 So 4.00 0 6 2 6

10 17 1 So 3.18 0 3 5 7

11 21 0 Jr 2.58 1 3 12 12

12 22 1 Sr 2.98 0 2 3 4

13 19 0 Fr 3.16 1 2 0 6

14 21 1 Jr 3.36 1 3 1 2

15 22 1 So 3.72 0 6 3 0

16 19 0 So 3.30 1 4 0 6

17 16 0 Fr 3.28 0 4 0 5

18 22 0 Sr 2.98 0 0 8 5

19 17 1 Fr 3.90 0 7 0 2

20 20 1 Sr 3.78 1 4 6 2

21 21 1 So 3.26 1 2 3 4

22 23 0 Jr 3.01 0 1 9 7

23 23 0 Sr 3.83 1 5 4 4

24 17 1 Fr 3.76 0 5 2 1

25 22 1 Sr 3.05 0 1 5 5

2. Estimate the simple linear regression equation relating number of cups of coffee per week to GPA (Consider GPA the dependent or outcome variable).

3. Estimate the simple linear regression equation relating female sex to GPA (Consider GPA the dependent or outcome variable).

4. Estimate the multiple linear regression equation relating number of cups of coffee per week, female sex and number of hours of exercise per week to GPA (Consider GPA the dependent or outcome variable).

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