This is the entire question as given. I did not split the question into two questions because I believe they both rely on the chart below.

6. A researcher wants to determine whether the "incidence of heart disease" may be predicted based on "age", "weight", "gender" and "VO2max". Given the logistic regression model output from SPCS: a) What is the odds ratio for age? b) What is the increase in odds for having 20 heart disease for each one year increase in age? 21 Variables in the Equation 22 23 95% C.I.for EXP(B) B S.E. Wald df Sig 24 Exp (B) Lower Upper Step 1a age 085 028 9.132 003 1.089 1.030 25 1.151 weight 006 .022 065 799 1.006 .962 1.051 26 gender(1) 1.950 .842 5.356 021 7.026 1.348 27 36.625 VO2max -.099 .048 4.266 039 .906 .824 995 28 Constant -1.676 3.336 253 615 187 29 30 a. Variable(s) entered on step 1: age, weight, gender, VO2max. 31 32 33 34 35 36 37 38 39 40 41 7. What is the true state of the population and what decision was made in a Type 2 error? Provide an example not given in lecture or textbook. 42 43