help answer using spss: Having assessed which variables remain significant or 'important' after controlling for the others in part 2, establish a final model. Here you will need to discuss the variables that you will drop from the results in part 2. Those that changed in their association after controlling for the others or other important findings. Assess how well the chosen model fits using a classification table. Report the model sensitivity and specificity, predicted value positive, and predicted value negative. Also construct an ROC curve. using this informationThe logistic regression model is: = = 0 + 1*At_Risk + 2*Age + 3*Weight + 4*Diet Score + 5*Sex + 6*Race + 7*Marstat Yi is the probability of a patient being visited by the dietician. The 's are the parameters to be estimated, which represent the change in the log-odds of the outcome for a one-unit change in the predictor variable, holding all other predictors constant. At-risk is a binary variable indicating whether the patient is at nutritional risk (1) or not (0). Age, Weight, and Diet Score are continuous variables. Sex is a binary variable indicating whether the patient is female (1) or not (0)