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Simple Linear Regression Equation SOLUTION

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Question;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 Week1 18 1 Fr 3.85 1 7 3 32 21 0 Jr 3.27 1 3 2 43 19 1 So 2.90 0 0 4 74 22 0 Sr 3.65 1 0 2 45 21 1 Sr 3.41 1 0 1 36 20 0 Jr 3.20 0 2 5 87 19 1 Jr 2.89 1 1 4 108 17 0 Fr 3.75 0 6 0 09 18 0 So 4.00 0 6 2 610 17 1 So 3.18 0 3 5 711 21 0 Jr 2.58 1 3 12 1212 22 1 Sr 2.98 0 2 3 413 19 0 Fr 3.16 1 2 0 614 21 1 Jr 3.36 1 3 1 215 22 1 So 3.72 0 6 3 016 19 0 So 3.30 1 4 0 617 16 0 Fr 3.28 0 4 0 518 22 0 Sr 2.98 0 0 8 519 17 1 Fr 3.90 0 7 0 220 20 1 Sr 3.78 1 4 6 221 21 1 So 3.26 1 2 3 422 23 0 Jr 3.01 0 1 9 723 23 0 Sr 3.83 1 5 4 424 17 1 Fr 3.76 0 5 2 125 22 1 Sr 3.05 0 1 5 52. 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).

 

Paper#61059 | Written in 18-Jul-2015

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