Using 20 observations, the multiple regression model y produced the following re

Question

Using 20 observations, the multiple regression model y produced the following relevant results Po + ?*1 + ?2x2 + ? was estimated Excel Regression 22.13E+1121.05E+112 57.2573 Residual17 321E+111 1.83E+110 Total 19 2.34E+112 Intercept 988,347 29,497 30,666 132,205 7.4759 0.0000-1,267,275 33,2930.88600.3880 40,745 -36,660 709,419 99,739 97.992 31,911 0.9610 0.3500 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. O Yes, since the p-value of the appropriate test is less than 0.05 O No, since the p-value of the appropriate test is less than 0.05 O 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 005 c. What is the likely problem with this model? Muiticollinearity since the standard errors are biased Multicollinearity since the explanatory variables are individually and jointly significant Multicollinearity since the explanatory variables are individualy significant but jointly insignifcant Multicollinearity since the explanatory variables are individually insignificant but jointly significant

Explanation / Answer

a) Option B as p value is less than 0.05

b) Option C as both p values 0.3880 and 0.3500 are more than 0.05

c) Option D

Related Questions

Navigate

• Browse (All)
• Browse U
• Subjects

---

---

Integrity-first tutoring: explanations and feedback only — we do not complete graded work. Learn more.