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? Model Summary
Adjusted Std. Error of
Model R R-Square Square the Estimate
1 .196 .039 .037 2.555
a. Predictors: (Constant), educ HIGHEST YEAR OF SCHOOL COMPLETED
ANOVA
Model Sum of df Mean Square F Sig
Squares
1 Regression .206.107 1 206.107 31.576 .000
Residual 136.953 787 6.527
Total.000 343.060 788
a. Dependent Variable: tvhours HOURS PER DAY WATCHING TV
b. Predictors: (Constant), educ HIGHEST YEAR OF SCHOOL COMPLETED
Coefficients
Unstandardized Standardized
Model Coefficients Coefficients
B Std. Error Beta t Sig.
1 (Constant) 5.166 .412 12.530 .000
educ HIGHEST -.164 .029 -.196 -5.619 .000
YEAR OF SCHOOL
COMPLETED
a. Dependent Variable: tvhours HOURS PER DAY WATCHING TV
Linear Regression Output for Hours Spent per Day Watching Television and Education