A public health nurse has conducted a survey of people in the community to better comprehend the effectiveness of the flu shot this season using the following survey instrument:
Flu Survey
1. Gender: □ Female □ Male
2. How old are you? _____
3. Did you have a flu shot this season? □ No □ Yes
4. Do you have any chronic disease(s)? □ No □ Yes
5. Have you been sick with the flu this season? □ No □ Yes
Data set: Ch 13 – Exercise 01B.sav
Codebook
Variable: Flu_sick
Definition: Outcome: Did this person get sick with the flu
this season?
Type: Categorical
0 = Got the flu
1 = No flu [←BASIS FOR MODEL]
Variable: Gender
Definition: [Predictor] Gender
Type: Categorical
0 = Female [←REFERENCE]

1 = Male
Variable: Flu_shot
Definition: [Predictor] Did person have a flu shot this season?
Type: Categorical 0 = Got a flu shot [←REFERENCE] 

1 = Did not get a flu shot
Variable: Chronic_disease
Definition: [Predictor] Does the person have chronic disease(s)?

Type: Categorical 0 = Has chronic disease(s) [←REFERENCE]
1 = No chronic disease(s)
Variable: Age
Definition: [Predictor] Age
Type: Continuous
a. Write the hypotheses.
b. Run each criterion of the pretest checklist (sample size, normality, multicollinearity) and discuss your findings.
c. Run the logistic regression analysis and document your findings (odds ratios and Sig. [p value], hypotheses resolution).
d. Write an abstract under 200 words detailing a summary of the study, the logistic regression analysis results, hypothesis resolution, and implications of your findings.

This data set (Ch 13 – Exercise 01B.sav) is the same as the first data set except the Age variable has been recoded from a continuous variable that contained the actual ages to a categorical variable, now coded as Pediatric/Adult, using the following recoding criteria:
If Age < 18, then recode as 0 = Pediatric
If Age ≥ 18, then recode as 1 = Adult
The corresponding modification has been made to the codebook:
Variable: Age
Definition: [Predictor] Age
Type: Categorical
0 = Pediatric [←REFERENCE]
1 = Adult