A multiple regression analysis produced the following output from Minitab. Regression Analysis: Y versus X 1 and x 2 SE Coef 0.2034 Predictor Сoef T 0.762 0.058 Constant -0.0626 -0.31 X 1 1.1003 0.5441 2.02 X 2 -0.8960 0.5548 -1.61 0.124 S = 0.179449 R-Sq = 89.0% R-Sq(adj) = 87.8% Analysis of Variance Source %3D DF SS MS Regression Residual Error 18 2 4.7013 2.3506 73.00 0.000 0.5796 0.0322 Total These results indicate that O A. none of the predictor variables are significant at the 5% level 20 5.2809 B. each predictor variable is significant at the 5% level C. x1 is the only predictor variable significant at the 5% level D.x2 is the only predictor variable significant at the 5% level O E. at least one of the variable is significant at 5% level

Glencoe Algebra 1, Student Edition, 9780079039897, 0079039898, 2018
18th Edition
ISBN:9780079039897
Author:Carter
Publisher:Carter
Chapter4: Equations Of Linear Functions
Section4.6: Regression And Median-fit Lines
Problem 4GP
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A multiple regression analysis produced the following output from Minitab.
Regression Analysis: Y versus X 1
and x 2
SE Coef
0.2034
Predictor
Сoef
0.762
0.058
Constant -0.0626
-0.31
х1
1.1003
0.5441
2.02
X 2
-0.8960
0.5548
-1.61
0.124
S = 0.179449 R-Sq = 89.0% R-Sq(adj) = 87.8%
Analysis of Variance
Source
%3D
DF
SS
MS
Regression
Residual Error 18
2
4.7013
2.3506
73.00
0.000
0.5796
0.0322
Total
These results indicate that
O A. none of the predictor variables are significant at the 5% level
20
5.2809
B. each predictor variable is significant at the 5% level
C. x1 is the only predictor variable significant at the 5% level
D.x2 is the only predictor variable significant at the 5% level
O E. at least one of the variable is significant at 5% level
Transcribed Image Text:A multiple regression analysis produced the following output from Minitab. Regression Analysis: Y versus X 1 and x 2 SE Coef 0.2034 Predictor Сoef 0.762 0.058 Constant -0.0626 -0.31 х1 1.1003 0.5441 2.02 X 2 -0.8960 0.5548 -1.61 0.124 S = 0.179449 R-Sq = 89.0% R-Sq(adj) = 87.8% Analysis of Variance Source %3D DF SS MS Regression Residual Error 18 2 4.7013 2.3506 73.00 0.000 0.5796 0.0322 Total These results indicate that O A. none of the predictor variables are significant at the 5% level 20 5.2809 B. each predictor variable is significant at the 5% level C. x1 is the only predictor variable significant at the 5% level D.x2 is the only predictor variable significant at the 5% level O E. at least one of the variable is significant at 5% level
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