Regression Statistics Multiple R0.9101558 R Square0.8283837 Adjusted R Square0.7971807 Standard Error1.6929902 Observations14 ANOVA dfSSMS F Significance F Regression2152.185976.0929626.548236.167E-05 Residual1131.528372.866216 Total13183.7143 Coefficients Standard Error t Stat P-value Lower 95%Upper 95%Intercept87.8823673.06924128.633261.11E-1181.127012794.63772X10.37987660.0901314.214702 0.0014490.181498950.578254X20.22160510.0384425.764660.0001260.136994830.306215 Based on the F test, the model is good? Use α = .05. Yes
Regression Statistics Multiple R0.9101558 R Square0.8283837 Adjusted R Square0.7971807 Standard Error1.6929902 Observations14 ANOVA dfSSMS F Significance F Regression2152.185976.0929626.548236.167E-05 Residual1131.528372.866216 Total13183.7143 Coefficients Standard Error t Stat P-value Lower 95%Upper 95%Intercept87.8823673.06924128.633261.11E-1181.127012794.63772X10.37987660.0901314.214702 0.0014490.181498950.578254X20.22160510.0384425.764660.0001260.136994830.306215 Based on the F test, the model is good? Use α = .05. Yes
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
Regression Statistics Multiple R0.9101558 R Square0.8283837 Adjusted R Square0.7971807 Standard Error1.6929902 Observations14 ANOVA dfSSMS F Significance F Regression2152.185976.0929626.548236.167E-05 Residual1131.528372.866216 Total13183.7143 Coefficients Standard Error t Stat P-value Lower 95%Upper 95%Intercept87.8823673.06924128.633261.11E-1181.127012794.63772X10.37987660.0901314.214702 0.0014490.181498950.578254X20.22160510.0384425.764660.0001260.136994830.306215
-
Based on the F test, the model is good? Use α = .05.
Yes
No
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