In Exercise 5, we examined the relationship between years of education and hours of television watched per

Question:

In Exercise 5, we examined the relationship between years of education and hours of television watched per day. We saw that as education increases, hours of television viewing decreases. The number of children a family has could also affect how much television is viewed per day. Having children may lead to more shared and supervised viewing and thus increases the number of viewing hours. The SPSS output in Figure 13.36, based on 2010 GSS data, displays the relationship between television viewing (measured in hours per day) and both education (measured in years) and number of children. We hypothesize that whereas more education may lead to less viewing, the number of children has the opposite effect: Having more children will result in more hours of viewing per day.
a. What is the b coefficient for education? For number of children? Interpret each coefficient. Is the relationship between education and hours of viewing as hypothesized? How about number of children and television viewing?
b. Using the multiple regression equation with both education and number of children as independent variables, calculate the number of hours of television viewing for a person with 16 years of education and two children. Using the equation from Exercise 5, how do the results compare between a person with 16 years of education (number of children not included in the equation) and a person with 16 years of education with two children?
c. Compare the r2 value from Exercise 5 with the R2 value from this regression. Does using education and number of children jointly reduce the amount of error involved in predicting hours of television viewed per day?