What is the regression equation which summarises the relationship between age and gender for males (which is coded with a 1)? O Depression score = 6.28 +.13(Age) O Depression score= -8.54 + .76(Age) Depression score = 6.28+.76(Age) O Depression score = -8.34 + .13(Age)
What is the regression equation which summarises the relationship between age and gender for males (which is coded with a 1)? O Depression score = 6.28 +.13(Age) O Depression score= -8.54 + .76(Age) Depression score = 6.28+.76(Age) O Depression score = -8.34 + .13(Age)
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 and please show me how you worked out this regression equation if you could! thank you :)
![Question 9
Reconsider the same output to the previous question:
Model Summary
Model
1
Model
1
.852
a. Predictors: (Constant), Age*Gender, Age, Gender
ANOVA
R
.926ª
Model
1
Regression
Residual
Total
R Square
.857
Adjusted R
Square
Question 10
18.06
Sum of
Squares
5450.456
905.797
6356.254
a. Dependent Variable: Depression
b. Predictors: (Constant), Age*Gender, Age, Gender
Coefficientsa
df
O Depression score = 6.28+.13(Age)
● Depression score = -8.54 + .76(Age)
O Depression score = 6.28 +.76(Age)
O Depression score = -8.34 + .13(Age)
3
77
80
Unstandardized Coefficients
B
Std. Error
-8.536
.757
14.817
-.630
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 males (which is coded with a 1)?
F
154.444
.985
.836
-1.561
t
-4.315
16.121
5.304
-9.522
Sig.
.000⁰
Sig.
.000
.000
.000
.000
Using your regression equation to the previous question, what is the predicted depression score for a male aged 35? Record your answer to two decimal places](/v2/_next/image?url=https%3A%2F%2Fcontent.bartleby.com%2Fqna-images%2Fquestion%2F16bc4cd2-36fb-43be-a3be-8850d4a0e138%2Ff2dac47f-588a-41c7-bcbd-899db39fd3cf%2F7ctsg39_processed.png&w=3840&q=75)
Transcribed Image Text:Question 9
Reconsider the same output to the previous question:
Model Summary
Model
1
Model
1
.852
a. Predictors: (Constant), Age*Gender, Age, Gender
ANOVA
R
.926ª
Model
1
Regression
Residual
Total
R Square
.857
Adjusted R
Square
Question 10
18.06
Sum of
Squares
5450.456
905.797
6356.254
a. Dependent Variable: Depression
b. Predictors: (Constant), Age*Gender, Age, Gender
Coefficientsa
df
O Depression score = 6.28+.13(Age)
● Depression score = -8.54 + .76(Age)
O Depression score = 6.28 +.76(Age)
O Depression score = -8.34 + .13(Age)
3
77
80
Unstandardized Coefficients
B
Std. Error
-8.536
.757
14.817
-.630
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 males (which is coded with a 1)?
F
154.444
.985
.836
-1.561
t
-4.315
16.121
5.304
-9.522
Sig.
.000⁰
Sig.
.000
.000
.000
.000
Using your regression equation to the previous question, what is the predicted depression score for a male aged 35? Record your answer to two decimal places
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