Refer to Exhibit 15-16. The estimated regression equation is,

MATLAB: An Introduction with Applications
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Chapter1: Starting With Matlab
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Exhibit 15-16
Below you are given a partial Excel output based on a sample of 8 observations.
ANOVA
Regression
Residual
Intercept
33
df
X2
SS
2590.78
0.11
6.89
2.28
MS
Coefficients Standard Error
42.00
5.68
1.85
1295.39
1204.24
F
Refer to Exhibit 15-16. The estimated regression equation is
on PhotBoxit B2x2 + &
9-42 +5.68.x₁ + 1.85.x2
E(v) - Bo + B₁x1 + B2x2
) ŷ = 0.11 + 6.89 x₁ + 2.28 x2
Transcribed Image Text:Exhibit 15-16 Below you are given a partial Excel output based on a sample of 8 observations. ANOVA Regression Residual Intercept 33 df X2 SS 2590.78 0.11 6.89 2.28 MS Coefficients Standard Error 42.00 5.68 1.85 1295.39 1204.24 F Refer to Exhibit 15-16. The estimated regression equation is on PhotBoxit B2x2 + & 9-42 +5.68.x₁ + 1.85.x2 E(v) - Bo + B₁x1 + B2x2 ) ŷ = 0.11 + 6.89 x₁ + 2.28 x2
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