regression equation. (2)Compute the F statistic and test the significance of the relationship at a 0.05 level of significance. (Fo.05=4.2) (3)Did the estimated regression equation provide a good fit to the data? Explain. Drodiot y volue whon V- 10

MATLAB: An Introduction with Applications
6th Edition
ISBN:9781119256830
Author:Amos Gilat
Publisher:Amos Gilat
Chapter1: Starting With Matlab
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This is a computer output from a regression
analysis of the data.
Predictor Coef SE Coef T
constant |-17
16.9
|-1.01
|12.97 2.15
6.04
IAnalysis of Variance
Source
DF SS
MS
Regression
1
9525 9525
Residual error 4
1043 260.8
Total
10568
(1)develop the least
regression equation.
(2)Compute the F statistic and test the
significance of the relationship at a 0.05
level of significance. (Fo.0o5=4.2)
(3)Did the estimated regression equation
provide a good fit to the data? Explain.
(4) Predict y value when X=10
squares estimated
Transcribed Image Text:This is a computer output from a regression analysis of the data. Predictor Coef SE Coef T constant |-17 16.9 |-1.01 |12.97 2.15 6.04 IAnalysis of Variance Source DF SS MS Regression 1 9525 9525 Residual error 4 1043 260.8 Total 10568 (1)develop the least regression equation. (2)Compute the F statistic and test the significance of the relationship at a 0.05 level of significance. (Fo.0o5=4.2) (3)Did the estimated regression equation provide a good fit to the data? Explain. (4) Predict y value when X=10 squares estimated
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