Question

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0, In E xercise 6 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 num- ber of viewing hours.The following SPSS output 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 , we examined the relationship between years ofeducation and hours of television each coef a. What is the b coefficient for education? For number of children? Interpret ficient. Is the relationship between each independent variable and hours of viewing as hypothesized? b. Using the muliple 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 6, 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 r value from Exercise 6 with the R' value from this regression. Does using education and number of children jointly reduce the amount of error involved in predict- ing hours of television viewed per day?

Answer 1

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