A Research Project Was Conducted to Study the Effect of Smoking

A research project was conducted to study the effect of smoking and weight upon resting pulse rate.The response variable is coded as 1 when the pulse rate is low and 0 when it high.Smoking is also coding as 1 when smoking and 0 when not smoking.Shown below is Minitab output from a logistic regression. Response Information
Variable Value Count
Rating Pulse 1 70 (Event)
0 22
Total 92
Logistic Regression Table
Odds 95% CI
Predictor Coef SE Coef Z P Ratio Lower Upper
Constant -1.98717 1.67930 -1.18 0.237
Weight 0.0250226 0.0122551 2.04 0.041 1.03 1.00 1.05
Smokes -1.19297 0.552980 -2.16 0.031 0.30 0.10 0.90
Log-Likelihood = -46.820
Test that all slopes are zero: G = 7.574,DF = 2,P-Value = 0.023
The log of the odds ratio or logit equation is:

A) log(S) =-1.19297+0.0250226 Weight-1.98717 Smokes
B) S=-1.98717+0.025226 Weight-1.19297 Smokes
C) Rating Pulse=-1.98717+0.025226 Weight-1.19297 Smokes
D) log(S) =-1.98717+0.025226 Weight-1.19297 Smokes
E) log(p) =-1.98717+0.025226 Weight-1.19297 Smokes