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 the 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
Which of the individual predictors are found to be significant predictors of resting pulse rates at an alpha of 0.05?
A) weight
B) constant and weight
C) constant
D) smokes and constant
E) smokes and weight
Correct Answer:
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