A linear logistic regression model was fit to the Body Fat data set for classifying an individual
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A linear logistic regression model was fit to the Body Fat data set for classifying an individual as obese or not obese based on the explanatory variables abdomen circumference and height. Use the fitted logistic regression model logit(????) = −20.2 + 0.43Abdomen − 0.37Height to classify an observation as obese or not obese when
(a) Abdomen=105 and Height=70.
(b) Abdomen=110 and Height=70.
(c) Abdomen=110 and Height=75.
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Related Book For
Applied Biostatistics For The Health Sciences
ISBN: 9781119722694
2nd Edition
Authors: Richard J. Rossi
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