Question
A multiple regression analysis produced the following tables. PredictorCoefficients Standard Error t Statistic p- value Intercept616.6849154.55343.9901080.000947 x 1-3.338332.333548-1.430580.170675 x 21.7800750.3356055.304075.83E-05 Sourcedf SS MS F p-
A multiple regression analysis produced the following tables.
PredictorCoefficients
Standard Error
tStatistic
p-value
Intercept616.6849154.55343.9901080.000947x1-3.338332.333548-1.430580.170675x21.7800750.3356055.304075.83E-05
Sourcedf
SS
MS
F
p-value
Regression212178360891.4814.761170.000286Residual1561876.684125.112Total17183659.6
The regression equation for this analysis is ____________.
= 154.5535 - 1.43058x1+ 5.30407x2
= 154.5535 + 2.333548x1+ 0.335605x2
= 616.6849 - 3.33833x1+ 1.780075x2
= 616.6849 - 3.33833x1- 1.780075x2
= 616.6849 + 3.33833x1+ 1.780075x2
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Advanced Engineering Mathematics
Authors: ERWIN KREYSZIG
9th Edition
0471488852, 978-0471488859
