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šider the multiple regression model shown below. This model was based on a sample size of 20 observations. Ý = 33 + 8X1 - 6X2 + 16X3 + 18X4 Suppose the standard error of the coefficient for X3 = 10 (Sp = 10). At the 5% level of significance, what can we conclude when evaluating for significance of X3? %3D %3D X3 is a significant predictor and should be kept in the model O X3 is not a significant predictor and should be dropped from the model There is not enough information provided to make any conclusions

šider the multiple regression model shown below. This model was based on a sample size of 20 observations. Ý = 33 + 8X1 - 6X2 + 16X3 + 18X4 Suppose the standard error of the coefficient for X3 = 10 (Sp = 10). At the 5% level of significance, what can we conclude when evaluating for significance of X3? %3D %3D X3 is a significant predictor and should be kept in the model O X3 is not a significant predictor and should be dropped from the model There is not enough information provided to make any conclusions

MATLAB: An Introduction with Applications
MATLAB: An Introduction with Applications
6th Edition
ISBN:9781119256830
Author:Amos Gilat
Publisher:Amos Gilat
Chapter1: Starting With Matlab
Section: Chapter Questions
Problem 1P
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Consider the multiple regression model shown below. This model was based on a sample size of 20 observations. Ý = 33 + 8X1 - 6X2 + 16X3 + 18X4 Suppose the standard error of the coefficient for X3 = 10 (s, = 10). At the 5% level of %3D significance, what can we conclude when evaluating for significance of X3? X3 is a significant predictor and should be kept in the model O X3 is not a significant predictor and should be dropped from the model There is not enough information provided to make any conclusions
Transcribed Image Text:Consider the multiple regression model shown below. This model was based on a sample size of 20 observations. Ý = 33 + 8X1 - 6X2 + 16X3 + 18X4 Suppose the standard error of the coefficient for X3 = 10 (s, = 10). At the 5% level of %3D significance, what can we conclude when evaluating for significance of X3? X3 is a significant predictor and should be kept in the model O X3 is not a significant predictor and should be dropped from the model There is not enough information provided to make any conclusions
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