Estimated slope [Choose ] Estimated intercept Estimated error variance [Choose ] [Choose ] Test statistic for testing if there is a [Choose ] linear relationship between x and y > Provided below is a MINITAB output for regressing y on x. Use to find the correct numerical value for each of the following component. Coefficients Term Coef SE Coef T-Value P-Value VIF Constant 187.2 85.6 2.19 0.038 X 40.44 4.42 9.15 0.000 1.00 Model Summary R-sq R-sq(adj) R-sq(pred) S 105.585 76.29% 75.38% 71.50% Analysis of Variance Source Regression DF Adj SS Adj MS F-Value P-Value 1 932603 932603 83.66 0.000 X 1 932603 932603 83.66 0.000 Error 26 289853 11148 Total 27 1222456
Estimated slope [Choose ] Estimated intercept Estimated error variance [Choose ] [Choose ] Test statistic for testing if there is a [Choose ] linear relationship between x and y > Provided below is a MINITAB output for regressing y on x. Use to find the correct numerical value for each of the following component. Coefficients Term Coef SE Coef T-Value P-Value VIF Constant 187.2 85.6 2.19 0.038 X 40.44 4.42 9.15 0.000 1.00 Model Summary R-sq R-sq(adj) R-sq(pred) S 105.585 76.29% 75.38% 71.50% Analysis of Variance Source Regression DF Adj SS Adj MS F-Value P-Value 1 932603 932603 83.66 0.000 X 1 932603 932603 83.66 0.000 Error 26 289853 11148 Total 27 1222456
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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Estimated slope
Estimated intercept
Estimated error variance
Test statistic for testing if there is a linear relationship between x and y
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