Question

                            

In a Risk Behavior Survey study on college students the following variables were observed:

Risk Behavior Variable:  

Did not wear seatbelt while last time driving a car (0=Wear seatbelt, 1=Not wear seatbelt)

      Risk Factor Variables:

• Sex   (0=Female, 1=Male)
• Race   (1=White, 2=Black, 3=Other)
• Live on campus   (0=Off Campus, 1=On Campus)

The data is in the following address:    http://gchang.people.ysu.edu/stat/log-YRB-18f.xls

(Do not use stepwise regression.)

1. Report the raw odds ratios of not wearing seatbelt for

1. Male versus Female and,
2. White race versus Other race, and
3. Lived On Campus versus Off Campus.

 

2. Use multiple logistic regression (logistic regression using multiple explanatory variables) to find the significant factor(s) that affects whether students wearing seatbelt or not. (Use all risk factor variables to build the regression model. Do not drop any variables.)

[Paste the R logistic regression output containing parameter estimation information here!]

3. Report the adjusted odds ratios of not wearing seatbelt for

1. Male versus Female and,
2. White race versus Other race, and
3. Lived On Campus versus Off Campus.

(Use the model built in question 2 for answering this question. Do not drop any variables.)

[Paste the R logistic regression output containing confidence interval of odds ratios here!]

Answer 1