Suppose we wish to predict the prevalence of coronary heart disease…

Question Answered step-by-step Suppose we wish to predict the prevalence of coronary heart disease… Suppose we wish to predict the prevalence of coronary heart disease (Y1), total number of people hospitalised with coronary heart disease in 12 months (Y2), prevalence of diabetes(Y3), high blood pressure value in mmhg (Y4), body mass index value (Y5), number of minutes exercised per week (Y6), and total annual hospital cost for coronary heart disease (Y7). For which of these would we use multiple linear regression, and for which would we use logistic regression? a)Logistic regression: Y1, Y3, Y5; Multiple linear regression: Y2, Y4, Y6 & Y7b)Multiple linear regression: Y1 & Y3; Logistic regression: Y2, Y4, Y5, Y6 & Y7c)Multiple linear regression: Y1, Y3, Y5; Logistic regression: Y2, Y4, Y6 & Y7d)Logistic regression: Y1 & Y3; Multiple linear regression: Y2, Y4, Y5, Y6 & Y7 Math Statistics and Probability HSH 746 Share QuestionEmailCopy link Comments (0)