2. The following table is the output of ordinal logistic regression. The response of interest, pregnancy duration, is a three-category variable as follows: Yi 1 2 3 The predictor variables are: Nutritional status: continuous measurement Age-category: three categories: 20 years of age, 21-30 years of age, and greater than 30 years of age (Two dummy variables were created, and reference category is 21-30) Alcohol Use (Yes=1 and NO=0) Smoking History (Yes=1 and No-0) Link Function: Logit Response Information Variable Value preterm 1 2 3 Total Logistic Regression Table Predictor Const (1) Const (2) Count 26 35 41 102 nutritio agecat1 agecat3 smoking alcohol Pregnancy Duration Category Preterm (less than 36 weeks) Intermediate term (36 to 37 weeks) Full term (38 weeks or greater) Coef 2.930 5.025 -0.04887 1.9760 1.3635 1.5915 1.6699 SE Coef 1.465 1.521 0.01168 0.5875 0.5547 0.4525 0.4727 Z P 2.00 0.045 3.30 0.001 -4.18 0.000 3.36 0.001 2.46 0.014 3.52 0.000 3.53 0.000 Log-likelihood = -86.756 Test that all slopes are zero: G = 47.174, DF = 5, P-Val a) Calculate the odds ratio for each of the predictor variable b) Calculate 95% confidence interval for each of the odds ratios. c) Interpret the results