Furthermore the model see Parameter Estimates table above shows that for every

# Furthermore the model see parameter estimates table

• No School
• AA 1
• 30

This preview shows page 16 - 22 out of 30 pages.

Furthermore, the model (see Parameter Estimates table above) shows that for every unit increase in age, there is a 0.629 unit increase in the systolic blood pressure. In a similar way, for every unit increase in BMI, there is a 1.434 units increase in the systolic blood pressure. The result for sex shows that, if every other variable is kept constant, males have about 11.372 units’ higher systolic blood pressure than females.

Subscribe to view the full document.

4. Discuss whether or not there is interaction (effect modification) between sex and age. (5 points) Age was statistically significant in the model until I added the interaction between age and sex (age * sex) to the model. Therefore, there is effect modification. Tests of Between-Subjects Effects Dependent Variable: Systolic Blood Pressure Source Type III Sum of Squares df Mean Square F Sig. Corrected Model 38437.904 a 32 1201.185 2.582 .000 Intercept 4145437.900 1 4145437.900 8910.790 .000 sex 12007.643 1 12007.643 25.811 .000 age 28133.051 31 907.518 1.951 .002 Error 170734.096 367 465.216 Total 7010836.000 400 Corrected Total 209172.000 399 a. R Squared = .184 (Adjusted R Squared = .113) Tests of Between-Subjects Effects Dependent Variable: Systolic Blood Pressure Source Type III Sum of Squares df Mean Square F Sig. Corrected Model 50594.384 a 60 843.240 1.803 .001 Intercept 3619127.005 1 3619127.005 7736.805 .000 sex 7086.002 1 7086.002 15.148 .000 age 18903.009 31 609.774 1.304 .134 sex * age 12156.479 28 434.160 .928 .574 Error 158577.616 339 467.781 Total 7010836.000 400 Corrected Total 209172.000 399 a. R Squared = .242 (Adjusted R Squared = .108)
TO ANSWER THIS QUESTION YOU NEEDED TO PERFORM AND SHOW 3 REGRESSION 1) SEX ONLY 2) AGE ONLY, AND 3 )BOTH SEX AND AGE AND SEE HOW THE EFFECTS ARE CHANGING. (-4)

Subscribe to view the full document.

III. Multiple Logistic Regression (25 points) Use the Final Exam – Linear and Logistic (SPSS document) dataset to assess the impact of sex, age, and BMI on the risk of coronary heart disease. 1. Conduct simple logistic regression of coronary heart disease and sex. (6 points) Model Summary Step -2 Log likelihood Cox & Snell R Square Nagelkerke R Square 1 483.271 a .058 .081 a. Estimation terminated at iteration number 4 because parameter estimates changed by less than . 001. Variables in the Equation B S.E. Wald df Sig. Exp(B) 95% C.I.for EXP(B) Lower Upper Step 1 a sex (1) -1.103 .234 22.319 1 .000 .332 .210 .524 Constant -.842 .117 51.978 1 .000 .431 a. Variable(s) entered on step 1: sex.
2. Conduct a multiple logistic regression using SPSS to address the research question: What is the association between sex and coronary heart disease after controlling for age and BMI? (9 points) Model Summary Step -2 Log likelihood Cox & Snell R Square Nagelkerke R Square 1 449.583 a .134 .187 a. Estimation terminated at iteration number 5 because parameter estimates changed by less than . 001. Variables in the Equation B S.E. Wald df Sig. Exp(B) 95% C.I.for EXP(B) Lower Upper Step 1 a sex (1) -1.296 .254 25.993 1 .000 .274 .166 .450 age .051 .014 12.500 1 .000 1.052 1.023 1.082 bmi .125 .032 15.379 1 .000 1.133 1.064 1.206 Constant -6.342 1.015 39.038 1 .000 .002 a. Variable(s) entered on step 1: sex, age, bmi.

Subscribe to view the full document.

3. Discuss how the addition of age and BMI in the model affected the association of sex and coronary heart disease using the Odds Ratios and confidence intervals in your output. (5 points) The addition of the new variables affected the relationship between sex and coronary heart disease. For example, the odds ratio for sex before adding BMI and age to the model is 0.332 and the confidence interval is (0.210, 0.524). However, after adding age and BMI to the
• Fall '19

### What students are saying

• As a current student on this bumpy collegiate pathway, I stumbled upon Course Hero, where I can find study resources for nearly all my courses, get online help from tutors 24/7, and even share my old projects, papers, and lecture notes with other students.

Kiran Temple University Fox School of Business ‘17, Course Hero Intern

• I cannot even describe how much Course Hero helped me this summer. It’s truly become something I can always rely on and help me. In the end, I was not only able to survive summer classes, but I was able to thrive thanks to Course Hero.

Dana University of Pennsylvania ‘17, Course Hero Intern

• The ability to access any university’s resources through Course Hero proved invaluable in my case. I was behind on Tulane coursework and actually used UCLA’s materials to help me move forward and get everything together on time.

Jill Tulane University ‘16, Course Hero Intern

Ask Expert Tutors You can ask 0 bonus questions You can ask 0 questions (0 expire soon) You can ask 0 questions (will expire )
Answers in as fast as 15 minutes