When we use a recent GSS and regress y = number of hours per day watching TV on g = gender (1 = male, 0 = female) and religious affiliation (r1 = 1 for Protestant, r2 = 1 for Catholic, r3 = 1 for Jewish, r1 = r2 = r3 = 0 for none or other), we get the prediction equation TVHOURS = 2.65 - 0.186 g + 0.666r1 + 0.373r2 - 0.270r3
a. Interpret the gender effect.
b. Interpret the coefficient of r1.
c. State a corresponding model for the population, and indicate which parameters would need to equal zero for the response variable to be independent of religious affiliation, for each gender.