C6. We present SPSS 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? output examining the relationship between education (measured Linear Regression Output for Hours Spent per Day Watching Television and Education Model Summary Adjusted R Square Std. Error of the Estimate Model R R Square .204 .042 .040 3.176 a. Predictors: (Constant), Highest year of school completed ANOVA Sum of Squares df Mean Square F Sig. Model 1 322.181 31.945 .000 1. Regression 322.181 7402.683 734 10.085 Residual 7724.864 735 Total a. Dependent Variable: Hours per day watching TV b. Predictors: (Constant), Highest year of school completed Coefficients Standardized Coefficients Unstandardized Coefficients Std. Error Beta Sig. Model .000 .527 11.412 6.017 (Constant) .038 -5.652 .000 -.215 -.204 Highest year of school completed a. Dependent Variable: Hours per day watching TV

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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?
Linear Regression Output for Hours Spent per Day Watching Television and
Education
Model Summary
Adjusted R
Square
Std. Error of
the Estimate
Model
R.
R Square
1.
.204a
.042
.040
3.176
a. Predictors: (Constant), Highest year of school
completed
ANOVA
Sum of
Squares
df
Mean Square
Sig.
Model
322.181
31.945
.000
Regression
322.181
734
10.085
Residual
7402.683
7724.864
735
Total
a. Dependent Variable: Hours per day watching TV
b. Predictors: (Constant), Highest year of school completed
Coefficients
Standardized
Coefficients
Unstandardized Coefficients
Std. Error
Beta
Sig.
B.
Model
.527
11.412
.000
6.017
(Constant)
.000
.038
-.204
-5.652
-.215
Highest year of school
completed
a. Dependent Variable: Hours per day watching TV
Transcribed Image Text: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? Linear Regression Output for Hours Spent per Day Watching Television and Education Model Summary Adjusted R Square Std. Error of the Estimate Model R. R Square 1. .204a .042 .040 3.176 a. Predictors: (Constant), Highest year of school completed ANOVA Sum of Squares df Mean Square Sig. Model 322.181 31.945 .000 Regression 322.181 734 10.085 Residual 7402.683 7724.864 735 Total a. Dependent Variable: Hours per day watching TV b. Predictors: (Constant), Highest year of school completed Coefficients Standardized Coefficients Unstandardized Coefficients Std. Error Beta Sig. B. Model .527 11.412 .000 6.017 (Constant) .000 .038 -.204 -5.652 -.215 Highest year of school completed a. Dependent Variable: Hours per day watching TV
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  1. Interpret the unstandardized coefficient for highest years of schooling. E.g., Is the relationship positive or negative? How does a one-unit change in schooling (i.e. an increase in one-year of education) influence Y? 
    • Interpret the constant (i.e. the intercept) in the equation? What does it indicate?
    • Calculate the average number of hours watched for someone with 12 years of education. 
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