a. interpret each of the coefficient estimates

MATLAB: An Introduction with Applications
6th Edition
ISBN:9781119256830
Author:Amos Gilat
Publisher:Amos Gilat
Chapter1: Starting With Matlab
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SUMMARY OUTPUT
Regression Statistics
Multiple R
R Square
Adjusted R Square
Standard Error
Observations
ANOVA
Regression
Residual
Total
Intercept
raw materials
labour
energy
0.97538847
0.951382667
0.945772974
0.697483145
df
30
3
26
29
Coefficients
10.87041263
0.832805407
2.523205204
0.15646195
SS
247.5169155
12.64855119
260.1654667
Standard Error
49.93741786
4.276664527
1.148078295
0.336556929
MS
82.50563849
0.486482738
t Stat
0.217680711
0.194732461
2.19776405
0.464889996
a. interpret each of the coefficient estimates
F
169.5962303
P-value
0.829377236
0.847116055
0.037070515
0.64588021
Significance
F
3.47E-17
Upper
95%
Lower
95.0%
Lower 95%
-91.7774 113.5182 -91.77742
-7.958
0.163296 4.883114 0.1632965
-0.53534 0.848265 -0.535341
Upper
95.0%
113.5182
9.623615 -7.958004 9.623615
4.883114
0.848265
Transcribed Image Text:SUMMARY OUTPUT Regression Statistics Multiple R R Square Adjusted R Square Standard Error Observations ANOVA Regression Residual Total Intercept raw materials labour energy 0.97538847 0.951382667 0.945772974 0.697483145 df 30 3 26 29 Coefficients 10.87041263 0.832805407 2.523205204 0.15646195 SS 247.5169155 12.64855119 260.1654667 Standard Error 49.93741786 4.276664527 1.148078295 0.336556929 MS 82.50563849 0.486482738 t Stat 0.217680711 0.194732461 2.19776405 0.464889996 a. interpret each of the coefficient estimates F 169.5962303 P-value 0.829377236 0.847116055 0.037070515 0.64588021 Significance F 3.47E-17 Upper 95% Lower 95.0% Lower 95% -91.7774 113.5182 -91.77742 -7.958 0.163296 4.883114 0.1632965 -0.53534 0.848265 -0.535341 Upper 95.0% 113.5182 9.623615 -7.958004 9.623615 4.883114 0.848265
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