(a) Calculate the effects of \"hosp\" using this model, seperately for male and

Question

(a) Calculate the effects of "hosp" using this model, seperately for male and female individuals. (gender: female(0), male(1).)

(b) Using output, state what the interaction coefficient "0.038742" means. And write a brief statistical summary about the interaction term.

(hosp: number of hospital stays, our response variable is demand for medical cares)

Coefficients Estimate Std. Error t value Pr( ltl) (Intercept) 1.063625 0.061761 17.222 2e-16 0.165757 0.019954 8.307 2e-16 hosp num chron 0.174799 0.011193 15.616 K 2e-16 gender -0.136451 0.037241 3.664 0.000251

Explanation / Answer

Part-a

For females effect of hosp=0.165757

For males effect of hosp=0.165757+0.038742=0.204499

Part-b

Interaction is 0.038742 which means that corresponding to unit increase in number of hospital stays , there is on an average 0.038742 higher demand for medical cares for males as compared to females.

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