PUB 550-0500 Application and Interpretation of Public Health Data

Health Medical

Grand Canyon University

### Question Description

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.

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.

This assignment uses a rubric. Please review the rubric prior to beginning the assignment to become familiar with the expectations for successful completion.

You are required to submit this assignment to LopesWrite.

### Unformatted Attachment Preview

A local community organization was interested in learning about general health behaviors in the area and the relationships between health behaviors and environmental and social determinants. They decided to conduct a brief survey based on a convenient sample of people visiting the local shopping mall. They offered a \$5 incentive for completing the survey. The Topic 1 Example dataset includes 30 observations from this survey. Use this data to complete the relevant assignments in this course. Education Level 1 2 3 Less than High School Graduated High School Graduated College Annual Income = US Dollars ehaviors in the area and the ts. They decided to conduct a all. They offered a \$5 incentive from this survey. Use this data to ID 106 113 125 110 121 119 105 103 120 114 118 117 108 107 127 111 122 130 109 101 129 126 124 112 123 128 104 102 116 115 Sex Female Female Female Male Female Male Female Female Female Male Male Female Male Female Female Female Female Male Female Female Male Male Male Male Male Female Male Male Male Male Smoker Yes Yes No No Yes Yes Yes Yes No No Yes No Yes No Yes No No Yes Yes No No Yes No No No No No No No No Education_Level*** 2 1 1 2 2 2 1 3 1 3 3 2 1 3 3 3 3 3 2 2 3 3 1 1 2 1 1 2 1 2 Minutes_Exercise 25 60 40 80 50 100 50 65 0 150 80 110 50 110 70 120 200 50 40 90 75 65 65 80 60 45 20 50 80 75 Age 18 20 21 24 26 29 30 31 32 35 35 36 37 39 40 42 42 42 44 45 46 48 49 50 52 53 54 58 59 61 Employed No No No No No No Yes Yes No Yes Yes Yes Yes Yes Yes Yes Yes Yes Yes Yes Yes Yes No Yes No No No No No Yes Annual_Income*Neighborhood 5000 C 15000 B 20000 C 12000 A 17000 B 32000 D 28000 B 35000 B 7000 C 28000 B 62000 B 55000 D 36000 B 46000 A 85000 A 78000 A 64000 D 27000 B 51000 C 51000 B 64000 C 72000 A 14000 D 34000 D 5000 A 15000 B 10000 C 23000 C 24000 B 28000 A A local community organization was interested in learning about general health behaviors in the area and the relationships between health behaviors and environmental and social determinants. They decided to conduct a brief survey based on a convenient sample of people visiting the local shopping mall. They offered a \$5 incentive for completing the survey. The Topic 1 Example dataset includes 30 observations from this survey. Use this data to complete the relevant assignments in this course. Education Level 1 2 3 Less than High School Graduated High School Graduated College Annual Income = US Dollars ehaviors in the area and the ts. They decided to conduct a all. They offered a \$5 incentive from this survey. Use this data to ID 106 113 125 110 121 119 105 103 120 114 118 117 108 107 127 111 122 130 109 101 129 126 124 112 123 128 104 102 116 115 Sex Female Female Female Male Female Male Female Female Female Male Male Female Male Female Female Female Female Male Female Female Male Male Male Male Male Female Male Male Male Male Smoker Yes Yes No No Yes Yes Yes Yes No No Yes No Yes No Yes No No Yes Yes No No Yes No No No No No No No No Education_Level*** 2 1 1 2 2 2 1 3 1 3 3 2 1 3 3 3 3 3 2 2 3 3 1 1 2 1 1 2 1 2 Minutes_Exercise 25 60 40 80 50 100 50 65 0 150 80 110 50 110 70 120 200 50 40 90 75 65 65 80 60 45 20 50 80 75 Age 18 20 21 24 26 29 30 31 32 35 35 36 37 39 40 42 42 42 44 45 46 48 49 50 52 53 54 58 59 61 Employed No No No No No No Yes Yes No Yes Yes Yes Yes Yes Yes Yes Yes Yes Yes Yes Yes Yes No Yes No No No No No Yes Annual_Income*Neighborhood 5000 C 15000 B 20000 C 12000 A 17000 B 32000 D 28000 B 35000 B 7000 C 28000 B 62000 B 55000 D 36000 B 46000 A 85000 A 78000 A 64000 D 27000 B 51000 C 51000 B 64000 C 72000 A 14000 D 34000 D 5000 A 15000 B 10000 C 23000 C 24000 B 28000 A Course Code PUB-550 Class Code PUB-550-O500 Criteria Content Percentage 100.0% SPSS Outputs 20.0% Research Question and Hypothesis 10.0% Simple Linear Regression Analysis 25.0% Regression Equation 10.0% Interpretation of Results (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 30.0% Mechanics of Writing (includes spelling, punctuation, grammar, language use) 5.0% Total Weightage 100% Assignment Title Application of Multiple Regression Unsatisfactory (0.00%) SPSS output tables illustrating the use of one dependent variable, one primary independent variable, and one confounding variable to complete a linear regression are not included. Statement of research question and hypotheses is not included. Discussion of the simple linear regression conducted without the potential confounding variable; the impact on the coefficient of the primary independent variable; changes; and how the variable confounds the association between the independent and dependent variables is not included. Regression equation based on the results of the full regression model is not included. Interpretation of results, including steps a-d, is not included. Surface errors are pervasive enough that they impede communication of meaning. Inappropriate word choice or sentence construction is used. Total Points 70.0 Less than Satisfactory (74.00%) SPSS output tables illustrating the use of one dependent variable, one primary independent variable, and one confounding variable to complete a linear regression are incomplete or incorrect. Statement of research question and hypotheses is incomplete or incorrect. Discussion of the simple linear regression conducted without the potential confounding variable; the impact on the coefficient of the primary independent variable; changes; and how the variable confounds the association between the independent and dependent variables is incomplete or incorrect. Regression equation based on the results of the full regression model is incomplete or incorrect. Interpretation of results, including steps a-d, is incomplete or incorrect. Frequent and repetitive mechanical errors distract the reader. Inconsistencies in language choice (register) or word choice are present. Sentence structure is correct but not varied. Satisfactory (79.00%) SPSS output tables illustrating the use of one dependent variable, one primary independent variable, and one confounding variable to complete a linear regression are partially complete and correct. Statement of research question and hypotheses is partially complete and correct. Discussion of the simple linear regression conducted without the potential confounding variable; the impact on the coefficient of the primary independent variable; changes; and how the variable confounds the association between the independent and dependent variables is included but lacks explanation and supporting details. Regression equation based on the results of the full regression model is partially complete and correct. Interpretation of results, including steps a-d, is included but lacks explanation and relevant details. Some mechanical errors or typos are present, but they are not overly distracting to the reader. Correct and varied sentence structure and audience-appropriate language are employed. Good (87.00%) SPSS output tables illustrating the use of one dependent variable, one primary independent variable, and one confounding variable to complete a linear regression are mostly complete and correct. Statement of research question and hypotheses is mostly complete and correct. Discussion of the simple linear regression conducted without the potential confounding variable; the impact on the coefficient of the primary independent variable; changes; and how the variable confounds the association between the independent and dependent variables is complete and includes explanation and supporting details. Regression equation based on the results of the full regression model is mostly complete and correct. Interpretation of results, including steps a-d, is complete and includes explanation and relevant details. Prose is largely free of mechanical errors, although a few may be present. The writer uses a variety of effective sentence structures and figures of speech. Excellent (100.00%) SPSS output tables illustrating the use of one dependent variable, one primary independent variable, and one confounding variable to complete a linear regression are complete and correct. Statement of research question and hypotheses is complete and correct. Discussion of the simple linear regression conducted without the potential confounding variable; the impact on the coefficient of the primary independent variable; changes; and how the variable confounds the association between the independent and dependent variables is extremely thorough and includes substantial explanation and supporting details. Regression equation based on the results of the full regression model is complete and correct. Interpretation of results, including an explanation of the regression equation and steps a-d, is extremely thorough with substantial explanation and relevant details. Writer is clearly in command of standard, written, academic English. Comments Points Earned ...
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