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
Related questions
Question
Estimated slope
Estimated intercept
Estimated error variance
Test statistic for testing if there is a linear relationship between x and y
![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
>](/v2/_next/image?url=https%3A%2F%2Fcontent.bartleby.com%2Fqna-images%2Fquestion%2Facd5ba85-b35b-48cc-9a49-2264564b92a9%2F24a00b34-a589-4a4e-8959-4b83313e777b%2Ftj4xxjf_processed.png&w=3840&q=75)
Transcribed Image Text: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
>

Transcribed Image Text: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
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