P. 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?

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Scatterplot
Its.
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 overal
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
.204a
.042
.040
3.176
a. Predictors: (Constant), Highest year of school
completed
ANOVA
Sum of
Model
Squares
df
Mean Square
F
Sig.
1
Regression
322.181
322.181
31.945
.000
Residual
7402.683
734
10.085
Total
7724.864
735
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
6.017
.527
11.412
.000
1
(Constant)
-.215
.038
-.204
-5.652
.000
Highest year of school
completed
000
.000
a. Dependent Variable: Hours per day watching TV
Transcribed Image Text:Scatterplot Its. 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 overal 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 .204a .042 .040 3.176 a. Predictors: (Constant), Highest year of school completed ANOVA Sum of Model Squares df Mean Square F Sig. 1 Regression 322.181 322.181 31.945 .000 Residual 7402.683 734 10.085 Total 7724.864 735 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 6.017 .527 11.412 .000 1 (Constant) -.215 .038 -.204 -5.652 .000 Highest year of school completed 000 .000 a. Dependent Variable: Hours per day watching TV
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