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# Using 20 observations, the multiple regression model results is as follows:B1x1Bzx2was estimated: portion of the regressionSignificance 1.74E-08Reg ression Residua ...

## Question

###### Using 20 observations, the multiple regression model results is as follows:B1x1Bzx2was estimated: portion of the regressionSignificance 1.74E-08Reg ression Residua ( Total2 .09E+12 3.23E+11 2.43E+121. 08E+12 1. 76E+10065Coefficients 988,012 894 29,796Standard Error 131,789 31,744 32,590Stat ~7.497 0.942 0.914p-value 000 0.359 0.374Lower 95* -1,266 062 -37,080 -38, 963Upper 958 709 _ 962 868 98, 555Intercepta. At the 5% significance level, are the explanatory variables jointly significant?Yes, si

Using 20 observations, the multiple regression model results is as follows: B1x1 Bzx2 was estimated: portion of the regression Significance 1.74E-08 Reg ression Residua ( Total 2 .09E+12 3.23E+11 2.43E+12 1. 08E+12 1. 76E+10 065 Coefficients 988,012 894 29,796 Standard Error 131,789 31,744 32,590 Stat ~7.497 0.942 0.914 p-value 000 0.359 0.374 Lower 95* -1,266 062 -37,080 -38, 963 Upper 958 709 _ 962 868 98, 555 Intercept a. At the 5% significance level, are the explanatory variables jointly significant? Yes, since the p-value of the appropriate test is more than 0.05. Yes, since the p-value of the appropriate test is less than 0.05. No_ since the p-value of the appropriate test is less than 0.05. No, since the p-value of the appropriate test is more than 0.05_ b At the 5% significance level, is each explanatory variable individually significant? Yes_ since both p-values of the appropriate test are less than 0.05. Yes, since both p-values of the appropriate test are more than 0.05 No, since both p-values of the appropriate test are not less than 0.05. No_ since both p-values of the appropriate test are not more than 0.05. What is the likely problem with this model? Multicollinearity since the standard errors are biased_ Multicollinearity since the explanatory variables are individually and jointly significant: Multicollinearity since the explanatory variables are individually significant but jointly insignificant Multicollinearity since the explanatory variables are individually insignificant but jointly significant:  #### Similar Solved Questions

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