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
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