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#### All Subjects Statistics General Statistics

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# Consider the following data measured in a sample of n=25 undergraduates

Question # 00009917
Subject: Statistics
Due on: 03/10/2014
Posted On: 03/10/2014 01:15 AM

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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 # YYY Exercise per Week # YYY Number of Drinks per Week # YYY 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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#### Simple Linear Regression Equation SOLUTION

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Posted On: 03/10/2014 01:16 AM
Posted By:
expertden
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Tutorial Preview …25 xxxxx 4 xxxxxx Residual 23 x 677857 0 xxxxx Total xx x 5412 xxxxxxxxxxxx Standard Error x Stat P-value xxxxx 95% xxxxx xxx Lower xx 0% Upper xx 0% Intercept x 812111 x xxxxxx 36 xxxxx 6 84E-22 x 596634 4 xxxxxx 3 xxxxxx x 027587…
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Preview: = x 3342 x 0 0535x3 xxx based on xxxxxxxxxxx is:.....
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