C6. We present SPSS output examining the relationship between education (measured in years) and television viewing per day (measured in hours) based on a GSS 2018 subsample. As we predicted in the SPSS Demonstration, we hypothesize that as educational attainment increases, hours of television viewing will decrease, indicating a negative relationship between the two variables. Discuss the significance of the overall model based on F and its p values. Is the relationship between education and television viewing significant?

Description Linear Regression Output for Hours Spent per Day Watching Television and Education

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Model Summary Model 1 R R Square .2049 .042 Adjusted R Square Std. Error of the Estimate .040 3.176 a. Predictors: (Constant), Highest year of school completed Model 1 Regression Residual Total ANOVA Sum of Squares df 322.181 7402.683 7724.864 1 734 735 Mean Square 322.181 10.085 a. Dependent Variable: Hours per day watching TV b. Predictors: (Constant). Highest year of school completed Coefficients Model 1 Unstandardized Coefficients B Std. Error (Constant) Highest year of school completed 6.017 -.215 .527 .038 a. Dependent Variable: Hours per day watching TV F Sig. 31.945 .000b Standardized Coefficients Beta Sig. 11.412 .000 -.204 -5.652 .000