Using 20 observations, the multiple regression model y = 6e + 61x1 + 62x2 + was estimated. A portion of the regression r

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Using 20 observations, the multiple regression model y = 6e + 61x1 + 62x2 + was estimated. A portion of the regression r

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Using 20 Observations The Multiple Regression Model Y 6e 61x1 62x2 Was Estimated A Portion Of The Regression R 1
Using 20 Observations The Multiple Regression Model Y 6e 61x1 62x2 Was Estimated A Portion Of The Regression R 1 (27.16 KiB) Viewed 95 times
Using 20 observations, the multiple regression model y = 6e + 61x1 + 62x2 + was estimated. A portion of the regression results is as follows: df Regression. 2 Residual 17 Total 19 SS 2.12E+12 3.19E+11 2.44E+12 Coefficients -987,557 MS 1.06E+12 1.88E+10 29,233 30,283 F 56.556 Significance F 3.07E-08 Standard Error Intercept 131,583 X1 32,653 x2 32,645 a. At the 5% significance level, are the explanatory variables jointly significant? t Stat -7.505 0.895 0.928 p-value 0.000 0.383 0.367 Yes, since the p-value of the appropriate test is more than 0.05. O No, since the p-value of the appropriate test is less 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 more than 0.05. Lower 95% -1,265,173 -39,660 -38,592 b. At the 5% significance level, is each explanatory variable individually significant? Upper 95% -709,941 98,125 99,158
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