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? Question 7Reconsider the output provided from the previous question:Model SummaryModelR R Square926* .8571.852a. Predictors: (Constant), Age Gender, Age, GenderANOVAModel1Model1RegressionResidualTotalAdjusted RSquareSum ofSquares5450.456905.7976356.254Question 8a. Dependent Variable: Depressionb. Predictors: (Constant), Age*Gender, Age, GenderCoefficients18.06difDepression score = -8.54 + .13(Age)Depression score = 6.28+.13(Age)Depression score = -8.54 +.76(Age)Depression score = 6.28+.76(Age)3-8.536.75714.817-.6307780Unstandardized CoefficientsBStd. ErrorStd. Error ofthe Estimate3.4301.978.0472.793.066Mean Square1816.81911.764StandardizedCoefficientsBeta(Constant)AgeGenderAge*Gendera. Dependent Variable: DepressionWhat is the regression equation which summarises the relationship between age and gender for females (which is coded with a 0)?F154.444.985.836-1.561t-4.31516.1215.304-9.522Sig..000Sig..000.000.000.000Using 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

The output is given We have to find 7..regression equation which summarises the relationship between…

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), AgeGender, 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), AgeGender, 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

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