# Question

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.

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.

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