(B) is BMI significant in predicting sleep apnea?A. With z = -5.03 and a P-value of approximately 0, BMI is not significant in predicting risk of sleep apnea.B. With z = -5.03 and a P-value of approximately 0, BMI is significant in predicting risk of sleep apnea.C. With z = 5.14 and a P-value of approximately 0, BMI is not significant in predicting risk of sleep apnea.D. With z = 5.14 and a P-value of approximately 0, BMI is significant in predicting risk of sleep apnea.

Sleep apnea is a potentially dangerous condition in which patients cease to breathe for at least 10 seconds at a time while asleep. Researchers collected data on 133 individuals in order to find risk factors for sleep apnea. (a) Neck size (measured in cm) may predict the risk of sleep apnea because a larger neck size might constrict the airway. The software output for the logistic regression model explaining sleep apnea (y = 1 for sleep apnea, 0 otherwise) as a function of neck size is shown. Odds 95%% CI Predictor Coof SE Coef Z P Ratio Lower Upper Constant -8. 15026 1.90008 -4.29 0.000 Neck Size 0. 227170 0.0511498 4.44 0.000 1.26 1.14 1.39 Is neck size significant in predicting sleep apnea? With z = -4.29 and a P-value of approximately 0, neck size is significant in predicting the risk of sleep apnea. O With z = 4.44 and a P-value of approximately 0, neck size is significant in predicting the risk of sleep apnea. With z = 4.44 and a P-value of approximately 0, neck size is not significant in predicting the risk of sleep apnea. With z = -4.29 and a P-value of approximately 0, neck size is not significant in predicting the risk of sleep apnea. (b) Being overweight has been linked to sleep apnea. The software output for the logistic regression model explaining sleep apnea as a function of an individual's body mass index (BMI, measured in kg/m2) is shown. Odds 95%% CI Predictor Coef SE Coef Z P Ratio Lower Upper Constant -8.37612 1.66623 -5.03 0.000 BMI 0.322748 0.0627380 5. 14 0.000 1.38 1.22 1.56