Reconsider the output provided from the previous question: Model Summary Model Model 1 R R Square 926* 857 852 a. Predictors: (Constant), Age*Gender, Age, Gender ANOVA Model 1 Regression Residual Total Adjusted R Square Sum of Squares 5450.456 905.797 6356.254 df a. Dependent Variable: Depression b. Predictors: (Constant), Age*Gender, Age, Gender Coefficients (Constant) Age Gender Age*Gender 14.817 -630 a. Dependent Variable: Depression 3 -8.536 757 77 80 Unstandardized Coefficients B Std. Error 1.978 047 2.793 066 Std. Error of the Estimate 3.430 Mean Square 1816.819 11.764 Standardized Coefficients Beta .985 .836 -1.561 154.444 -4.315 16.121 5.304 -9.522 Sig. 000 Sig. 000 .000 .000 000
Reconsider the output provided from the previous question: Model Summary Model Model 1 R R Square 926* 857 852 a. Predictors: (Constant), Age*Gender, Age, Gender ANOVA Model 1 Regression Residual Total Adjusted R Square Sum of Squares 5450.456 905.797 6356.254 df a. Dependent Variable: Depression b. Predictors: (Constant), Age*Gender, Age, Gender Coefficients (Constant) Age Gender Age*Gender 14.817 -630 a. Dependent Variable: Depression 3 -8.536 757 77 80 Unstandardized Coefficients B Std. Error 1.978 047 2.793 066 Std. Error of the Estimate 3.430 Mean Square 1816.819 11.764 Standardized Coefficients Beta .985 .836 -1.561 154.444 -4.315 16.121 5.304 -9.522 Sig. 000 Sig. 000 .000 .000 000
MATLAB: An Introduction with Applications
6th Edition
ISBN:9781119256830
Author:Amos Gilat
Publisher:Amos Gilat
Chapter1: Starting With Matlab
Section: Chapter Questions
Problem 1P
Related questions
Question
Please help me with this question. I'm having trouble with the equation as there is a previous question before this one for females with code 1. But I get the same result and equations for both. Is this correct?

Transcribed Image Text:Question 7
Reconsider the output provided from the previous question:
Model Summary
Model
R R Square
926* .857
1
.852
a. Predictors: (Constant), Age Gender, Age, Gender
ANOVA
Model
1
Model
1
Regression
Residual
Total
Adjusted R
Square
Sum of
Squares
5450.456
905.797
6356.254
Question 8
a. Dependent Variable: Depression
b. Predictors: (Constant), Age*Gender, Age, Gender
Coefficients
18.06
dif
Depression score = -8.54 + .13(Age)
Depression score = 6.28+.13(Age)
Depression score = -8.54 +.76(Age)
Depression score = 6.28+.76(Age)
3
-8.536
.757
14.817
-.630
77
80
Unstandardized Coefficients
B
Std. Error
Std. Error of
the Estimate
3.430
1.978
.047
2.793
.066
Mean Square
1816.819
11.764
Standardized
Coefficients
Beta
(Constant)
Age
Gender
Age*Gender
a. Dependent Variable: Depression
What is the regression equation which summarises the relationship between age and gender for females (which is coded with a 0)?
F
154.444
.985
.836
-1.561
t
-4.315
16.121
5.304
-9.522
Sig.
.000
Sig.
.000
.000
.000
.000
Using your regression equation to the previous question, what is the predicted depression score for a female aged 35? Record your answer to two decimal places
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