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Analysis the following Question based on this situation. You run standard multiple regression on your variables (dependent Q; independents A, B, C, and D). The resulting regression output is the following:
Coefficients
Standard Error
P-value (or sig value)
Lower 95%
Upper 95%
Intercept
50.971
1.273
4.094E-06
524.04117
1091.796
A
-0.625
0.061
4.341E-11
-5.9751292
-4.09374
B
0.175
0.020
5.737E-05
2.7893473
6.931397
C
0.555
0.044
4.292E-03
0.1129530
0.543153
D
-0.0009
0.035
2.384E-08
0.0064627
0.010948
Based on the P-value, what conclusion can be withdrawn about independent variables A, B, C, and D?
a.) All independent variables have a significant predictive contribution to the model
b.) None of the independent variables has a significant predictive contribution to the model
c.) Independent variable A has the least significant predictive contribution to the model
d.) Independent variable C has the most significant predictive contribution to the model
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