Scenario Research Question Does a father's education, the number of hours on electronics, and the number of hours spent on the internet per week predict highest year of school completed by adolescent males Variables a person's education, his father's education, the number of hours on electronics, and the number of hours spent on the internet per week Population adolescent males Null Hypothesis There is no predictive value of a father's education, the number of hours on electronics, and the number of hours spent on the internet per week on highest year of school completed by adolescent males SPSS Output Regression Model Descriptive Statistics Mean Std Deviation N Highest year of school completed 14 74 2 532 326 HIGHEST YEAR SCHOOL COMPLETED, FATHER 12 63 3 847 326 Hours on Internet per week for Internet users 9 1749 12 60009 326 Hours per day on electronics 2 40 2 206 326 Variables Entered Removedb Model Variables Entered Variables Removed Method dimension0 1 Hours per day on electronics, Hours on Internet per week for Internet users, HIGHEST YEAR SCHOOL COMPLETED, FATHERa Enter a All requested variables entered b Dependent Variable Highest year of school completed Model Summary Model R R Square Adjusted R Square Std Error of the Estimate dimension0 1 311a 097 088 2 418 a Predictors (Constant), Hours per day watching TV, Hours on Internet per week for Internet users, HIGHEST YEAR SCHOOL COMPLETED, FATHER ANOVAb Model Sum of Squares df Mean Square F Sig 1 Regression 201 343 3 67 114 11 483 000a Residual 1881 969 322 5 845 Total 2083 313 325 a Predictors (Constant), Hours per day watching TV, Hours on Internet per week for Internet users, HIGHEST YEAR SCHOOL COMPLETED, FATHER b Dependent Variable Highest year of school completed Coefficientsa Model Unstandardized Coefficients Standardized Coefficients t Sig B Std Error Beta 1 (Constant) 12 688 499 25 423 000 HIGHEST YEAR SCHOOL COMPLETED, FATHER 168 035 256 4 749 000 Hours on Internet per week for Internet users 021 011 104 1 931 054 Hours per day on electronics 111 061 097 1 815 071 a Dependent Variable Highest year of school completed Answer the following questions in space provided Write the regression equation for predicting a person's education Be specific using variables names Based on the regression output, which variable(s) would you consider removing from this model Explain your answer

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Scenario/Research Question:Does a father's education, the number of hours on electronics, and the number of hours spent on the internet per week predict highest year

Scenario/Research Question:Does a father's education, the number of hours on electronics, and the number of hours spent on the internet per week predict highest year of school completed by adolescent males?

Variables:a person's education, his father's education, the number of hours on electronics, and the number of hours spent on the internet per week

Population:adolescent males

Null Hypothesis:There is no predictive value of a father's education, the number of hours on electronics, and the number of hours spent on the internet per week on highest year of school completed by adolescent males.

SPSS Output

Regression Model

Descriptive Statistics

Mean

Std. Deviation

Highest year of school completed

14.74

2.532

326

HIGHEST YEAR SCHOOL COMPLETED, FATHER

12.63

3.847

326

Hours on Internet per week for Internet users

9.1749

12.60009

326

Hours per day on electronics

2.40

2.206

326

Variables Entered/Removedb

Model

Variables Entered

Variables Removed

Method

dimension0

Hours per day on electronics, Hours on Internet per week for Internet users, HIGHEST YEAR SCHOOL COMPLETED, FATHERa

Enter

a. All requested variables entered.

b. Dependent Variable: Highest year of school completed

Model Summary

Model

R Square

Adjusted R Square

Std. Error of the Estimate

dimension0

.311a

.097

.088

2.418

a. Predictors: (Constant), Hours per day watching TV, Hours on Internet per week for Internet users, HIGHEST YEAR SCHOOL COMPLETED, FATHER

ANOVAb

Model

Sum of Squares

Mean Square

Sig.

Regression

201.343

67.114

11.483

.000a

Residual

1881.969

322

5.845

Total

2083.313

325

a. Predictors: (Constant), Hours per day watching TV, Hours on Internet per week for Internet users, HIGHEST YEAR SCHOOL COMPLETED, FATHER

b. Dependent Variable: Highest year of school completed

Coefficientsa

Model

Unstandardized Coefficients

Standardized Coefficients

Sig.

Std. Error

Beta

(Constant)

12.688

.499

25.423

.000

HIGHEST YEAR SCHOOL COMPLETED, FATHER

.168

.035

.256

4.749

.000

Hours on Internet per week for Internet users

.021

.011

.104

1.931

.054

Hours per day on electronics

-.111

.061

-.097

-1.815

.071

a. Dependent Variable: Highest year of school completed

Answer the following questions in space provided:

Write the regression equation for predicting a person's education? Be specific using variables names.
Based on the regression output, which variable(s) would you consider removing from this model? Explain your answer.