For this assignment you will use the 2019 NHIS dataset (n=1,500) and codebook. Complete the tasks below and submit your work as a doc, docx, or pdf file by the due date. All tests of significance are 2-sided and alpha = 0.05, unless otherwise stated.
Use SPSS for this assignment.
For this assignment you will use the following variables:
PSA5YRTC_A: Number of PSA tests in last 5 years (exclude 97-99). Only 40+ year old males were asked this question.
AGEP_A: Age (exclude 97-99)
Body mass index: My variable is called BMI and people without a valid height or weight were excluded
RACEALLP_A: Race (exclude 7-9)
BMICAT_A: Categorical body mass index, public use (exclude 9)
DIBEV_A: Diabetes
Remember to exclude refused, not ascertained, don’t know, not applicable, and similar responses (if applicable) from the analysis.
1) Run a linear regression model with number of PSA tests as the dependent and (continuous) body mass index and age as the independent variables (1 point)
Paste screenshots of your syntax and output here.
2) a) Write the regression equation for the regression model in #1. Use this model to calculate the mean number of PSA tests for b) 45 year olds with a BMI=30, and c) 60 year olds with a BMI=24. Show your work. (2 points)
3) What is the value of the R2 for this model? Write a brief explanation of what this value tells you about the model. (1 point)
4) Your supervisor asked you if a linear regression model is appropriate to model the relationship between the number of PSA tests and age. Describe the information that you would tell him/her that you need to make this assessment. Your answer should be specific to these 2 variables (and this dataset). (1 point)
5) Create a new variable for diabetes from DIBEV_A (0 should be no and 1 should be yes, exclude 8-9). Use this new variable as the dependent variable in a logistic regression model. Include RACEALLP_A and BMICAT_A as independent variables. White should be the referent group for race. Exclude the underweight group (by going to data à select cases [Hint: ~= means not equal]). The Normal weight group should be the reference group for BMICAT_A (2 points)
Paste screenshots of your syntax and output here.
6) There are a lot of odds ratios on our SPSS output. Write 3-5 sentences which briefly summarize the most important results. (1.5 point)
7) Conduct a hypothesis test for the OR for people who are obese. Make sure to clearly state the reference group for the BMI variable. Show your work, including all of the steps of a hypothesis test that were presented during week 5. (1.5 points)
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