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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?
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