Your instructor built a simple logistic regression model to predict the likelihood of getting heart disease. The only variable that your instructor used was Age. The regression coefficient for Age turned out to be: 0.063453. The intercept estimate was -8.322206. Assume that he created a confusion matrix. Whether he used the training data set or the validation data set is besides the point. The following partial information from the confusion matrix is available.

A total of 1000 patients were used in the analysis.

The model predicted 800 to be free of heart disease.

The specificity of the model was 100%.

The misclassification rate was 10%.

How many patients do not have heart disease? Answer using a whole number. There is no margin of error for this question.

I need typed answer with explanation