Climb (m) 0.09717 0.00497 19.55 0.000 Model Summary for Climb: R-sq R-sq(adj) R-sq(pred) 23.9301 81.46% 81.25% 80.54% Here is the information for the 3 dimensional relationship between x1, x2, and Y. Multiple Linear Relationship for the women: Coefficients: Term Coef SE Coef T-Value P-Value Constant -11.70 1.91 -6.11 0.000 Distance(km) 4.432 0.222 20.01 0.000 Climb (m) 0.04526 0.00334 13.56 0.000 Model Summary: S R-sq R-sq(adj) R-sq(pred) 10.1208 96.72% 96.65% 96.09% Does it help to add the second x variable in this case? O Yes O You can't tell from this information O No
Climb (m) 0.09717 0.00497 19.55 0.000 Model Summary for Climb: R-sq R-sq(adj) R-sq(pred) 23.9301 81.46% 81.25% 80.54% Here is the information for the 3 dimensional relationship between x1, x2, and Y. Multiple Linear Relationship for the women: Coefficients: Term Coef SE Coef T-Value P-Value Constant -11.70 1.91 -6.11 0.000 Distance(km) 4.432 0.222 20.01 0.000 Climb (m) 0.04526 0.00334 13.56 0.000 Model Summary: S R-sq R-sq(adj) R-sq(pred) 10.1208 96.72% 96.65% 96.09% Does it help to add the second x variable in this case? O Yes O You can't tell from this information O No
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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