C10. In Exercise 6, we examined the relationship between years of education and hours oftelevision watched per day. We saw that as education increases, hours of televisionviewing decreases. The number of children a family has could also affect howmuch television is viewed per day. Having children may lead to more shared andsupervised viewing and thus increases the number of viewing hours. The followingSPSS output displays the relationship between television viewing (measured inhours per day) and both education (measured in years) and number of children. Wehypothesize that whereas more education may lead to less viewing, the number ofchildren has the opposite effect: Having more children will result in more hours ofviewing per day.a. What is the b coefficient for education? For number of children? Interpret eachcoefficient. Is the relationship between each independent variable and hours ofviewing as hypothesized?b. Using the multiple regression equation with both education and number of childrenas independent variables, calculate the number of hours of television viewing for a person with 16 years of education and two children. Using the equation fromExercise 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 ofeducation with two children?c. Compare the r value from Exercise 6 with the R value from this regression. Doesusing education and number of children jointly reduce the amount of error involvedin predicting hours of television viewed per day?Multiple Regression Output Specifying the Relationship Between Education,Number of Children, and Hours Spent per Day Watching TelevisionModel SummaryAdjusted RSquareStd. Error ofthe EstimateModelRR Square.213.046.0433.173a. Predictors: (Constant), Number of children, Highestyear of school completedANOVASum ofSquaresModeldfMean SquareSig.Regression351.1462.175.57317.439.000Residual7359.54273110.068Total7710.688733a. Dependent Variable: Hours per day watching TVb. Predictors: (Constant), Number of children, Highest year of school completedCoefficientsaStandardizedCoefficientsUnstandardized CoefficientsModelStd. ErrorBeta1.(Constant)Sig.5.596.5939.438.000Highest year of schoolcompleted-.201.039-.190-5.105.000Number of children.118a. Dependent Variable: Hours per day watching TV.071.0621.657.098

Hello! As you have posted more than 3 sub parts, we are answering the first 3 sub-parts(b coefficient for education, b coefficient for number of children and interpretation. In case you require the unanswered parts also, kindly re-post that parts separately. a. b coefficient of education: From the output, the b coefficient for 'Highest year of school completed' is -0.201. Thus, the b coefficient of education is -0.201. b coefficient of number of children: From the output, the b coefficient for 'number of children' is 0.118. Thus, the b coefficient of the number of children is 0.118. Interpretation: b coefficient of education is -0.201. There is a 0.201 units decrease in Hours per day watching TV as one unit increase in the year of school completed. b coefficient of number of children is 0.118. There is a 0.118 units increase in Hours per day watching TV as one unit increase in the number of children.