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PUB 550 Simple and Multiple Regression Questions GCU

PUB 550 Simple and Multiple Regression Questions GCU

PUB 550 Simple and Multiple Regression Questions GCU

The purpose of this assignment is to apply your understanding of simple and multiple linear regression.

For this assignment, use the “Example Dataset” to complete a simple linear regression using SPSS. Select one dependent variable, one primary independent variable, and one potential confounding variable. You will need to recode string variables into numeric variables to use them in the regression analysis. Prepare a Word document that includes all SPSS outputs. PUB 550 Simple and Multiple Regression Questions GCU

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Based on the results, create a second Word document and answer the following questions in 500-750 words.

  1. State your research question and hypotheses.
  2. Run the regression again without the potential confounding variable and discuss the impact on the coefficient of the primary independent variable. Did it change? If so, to what extent did it change? Based on this, do you think the added variable confounds the association between the independent and dependent variables?
  3. Export both regression output tables as part of the Word document containing the SPSS outputs.
  4. Provide your regression equation based on the results of the full regression model.
  5. Interpret the results by (a) stating the reason the study or test was done; (b) presenting the main results, including coefficients on the main independent variable and significance levels; (c) explaining what the results mean; and (d) making suggestions for future research.

Submit both Word documents to the instructor.

APA style is not required, but solid academic writing is expected.

pub_550_rs_example_dataset__6_.xlsx
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ID Sex Smoker Education_Level*** Minutes_Exercise Age Employed Annual_Income* Neighborhood
101 Female No 2 90 45 Yes 51000 B
102 Male No 2 50 58 No 23000 C
103 Female Yes 3 65 31 Yes 35000 B
104 Male No 1 20 54 No 10000 C
105 Female Yes 1 50 30 Yes 28000 B
106 Female Yes 2 25 18 No 5000 C
107 Female No 3 110 39 Yes 46000 A
108 Male Yes 1 50 37 Yes 36000 B
109 Female Yes 2 40 44 Yes 51000 C
110 Male No 2 80 24 No 12000 A
111 Female No 3 120 42 Yes 78000 A
112 Male No 1 80 50 Yes 34000 D
113 Female Yes 1 60 20 No 15000 B
114 Male No 3 150 35 Yes 28000 B
115 Male No 2 75 61 Yes 28000 A
116 Male No 1 80 59 No 24000 B
117 Female No 2 110 36 Yes 55000 D
118 Male Yes 3 80 35 Yes 62000 B
119 Male Yes 2 100 29 No 32000 D
120 Female No 1 0 32 No 7000 C
121 Female Yes 2 50 26 No 17000 B
122 Female No 3 200 42 Yes 64000 D
123 Male No 2 60 52 No 5000 A
124 Male No 1 65 49 No 14000 D
125 Female No 1 40 21 No 20000 C
126 Male Yes 3 65 48 Yes 72000 A
127 Female Yes 3 70 40 Yes 85000 A
128 Female No 1 45 53 No 15000 B
129 Male No 3 75 46 Yes 64000 C
130 Male Yes 3 50 42 Yes 27000 B