SEE IMG mainpm.png     based on output select the words which best complete the following sentence by inserting ["no significant", "-1.561", "= .000", "-.630", "< .001", "a significant"] There is __________ interaction between age and gender (b = ____________ ,p ___________ ).

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based on output select the words which best complete the following sentence by inserting ["no significant", "-1.561", "= .000", "-.630", "< .001", "a significant"]

There is __________ interaction between age and gender (b = ____________ ,p ___________ ).

The researchers have decided to create a new variable (age*gender), which looks at the
interaction betwen these variables, and include it in the multiple regression. The output for the
analysis is provided below:
Model Summary
Adjusted R
Square
Std. Error of
Model
R Square
the Estimate
1
.926
.857
.852
3.430
a. Predictors: (Constant), Age*Gender, Age, Gender
ANOVA
Sum of
Squares
Sig.
.000
Model
df
Mean Square
F
Regression
5450.456
3
1816.819
154.444
Residual
905.797
77
11.764
Total
6356.254
80
a. Dependent Variable: Depression
b. Predictors: (Constant), Age*Gender, Age, Gender
Coefficients
Standardized
Unstandardized Coefficients
Coefficients
Model
В
Std. Error
Beta
Sig.
1
(Constant)
-8.536
1.978
-4.315
.000
Age
.757
.047
.985
16.121
.000
Gender
14.817
2.793
.836
5.304
.000
Age*Gender
-.630
.066
-1.561
-9.522
.000
a. Dependent Variable: Depression
Transcribed Image Text:The researchers have decided to create a new variable (age*gender), which looks at the interaction betwen these variables, and include it in the multiple regression. The output for the analysis is provided below: Model Summary Adjusted R Square Std. Error of Model R Square the Estimate 1 .926 .857 .852 3.430 a. Predictors: (Constant), Age*Gender, Age, Gender ANOVA Sum of Squares Sig. .000 Model df Mean Square F Regression 5450.456 3 1816.819 154.444 Residual 905.797 77 11.764 Total 6356.254 80 a. Dependent Variable: Depression b. Predictors: (Constant), Age*Gender, Age, Gender Coefficients Standardized Unstandardized Coefficients Coefficients Model В Std. Error Beta Sig. 1 (Constant) -8.536 1.978 -4.315 .000 Age .757 .047 .985 16.121 .000 Gender 14.817 2.793 .836 5.304 .000 Age*Gender -.630 .066 -1.561 -9.522 .000 a. Dependent Variable: Depression
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