Regressions in SPSS

MATLAB: An Introduction with Applications
6th Edition
ISBN:9781119256830
Author:Amos Gilat
Publisher:Amos Gilat
Chapter1: Starting With Matlab
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6:04
Regression SPSS Outp...
Regressions in SPSS
A researcher was interested in whether age and income predict a person’s self-esteem. They
gathered a group of 30 people and had them report on their age, annual income, and complete a
questionnaire that measured self-esteem. First, they tested whether age predicted self-esteem on
its own. Second, they tested whether income predicted self-esteem on its own. Third, they tested
whether those predictions were still significant after controlling for the effects of the other one.
Write an interpretation of all three regressions following the format in the lecture video.
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Transcribed Image Text:6:04 Regression SPSS Outp... Regressions in SPSS A researcher was interested in whether age and income predict a person’s self-esteem. They gathered a group of 30 people and had them report on their age, annual income, and complete a questionnaire that measured self-esteem. First, they tested whether age predicted self-esteem on its own. Second, they tested whether income predicted self-esteem on its own. Third, they tested whether those predictions were still significant after controlling for the effects of the other one. Write an interpretation of all three regressions following the format in the lecture video. > 65 000 000 Dashboard Calendar To Do Notifications Inbox
6:04
Regression SPSS Outp...
Regressions in SPSS
Income → Self-Esteem
Model Summary
Adjusted R
Square
Std. Error of
Model
R
R Square
the Estimate
.514
.264
.238
3.830
a. Predictors: (Constant), Income
ANOVA
Sum of
Squares
Mean Square
F
Sig.
.004b
Model
df
1
Regression
147.188
1
147.188
10.035
Residual
410.679
28
14.667
Total
557.867
29
a. Dependent Variable: SelfEsteem
b. Predictors: (Constant), Income
Coefficients
Standardized
Unstandardized Coefficients
Coefficients
Model
B
Std. Error
Beta
Sig.
1
(Constant)
63.612
1.349
47.150
.000
Income
103
.033
514
3.168
.004
a. Dependent Variable: SelfEsteem
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Transcribed Image Text:6:04 Regression SPSS Outp... Regressions in SPSS Income → Self-Esteem Model Summary Adjusted R Square Std. Error of Model R R Square the Estimate .514 .264 .238 3.830 a. Predictors: (Constant), Income ANOVA Sum of Squares Mean Square F Sig. .004b Model df 1 Regression 147.188 1 147.188 10.035 Residual 410.679 28 14.667 Total 557.867 29 a. Dependent Variable: SelfEsteem b. Predictors: (Constant), Income Coefficients Standardized Unstandardized Coefficients Coefficients Model B Std. Error Beta Sig. 1 (Constant) 63.612 1.349 47.150 .000 Income 103 .033 514 3.168 .004 a. Dependent Variable: SelfEsteem 65 000 000 Dashboard Calendar Тo Do Notifications Inbox
Expert Solution
Step 1

from out put the R square value is 0.264 it means the regression fix explains the variable 26.4% only that means there are other variable that can explains income self esteem

ere p value is 0.04 <0.05 we reject null hypothesis ,therefore the predictions were still significant after controlling for the effect of the other one

 

 

 

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