18 complete) Where the number in parentheses is the homoskedastic standard error for the regression coefficient B, (0.069) Suppose you wanted to test the hypothesis that B, equals zero at the 1%, 5%...

18 complete)<br>Where the number in parentheses is the homoskedastic standard error for the regression coefficient B,<br>(0.069)<br>Suppose you wanted to test the hypothesis that B, equals zero at the 1%, 5% and 10% level. That is,<br>Ho: B1=0 vs. H1: B1#0<br>%3D<br>Report the t-statistic and p-value for this test.<br>The t-statistic is<br>(Round your response to two decimal places)<br>The p-value is<br>(Round your response to three decimal places)<br>Can you reject the null hypothesis at the 5% significance level?<br>O A. Yes.<br>B. No.<br>Construct a 95% confidence interval for the slope coefficient B,.<br>The 95% confidence interval for the slope coefficient B, is [ D<br>(Round your response to three decimal places)<br>Click to select your answer(s).<br>d.<br>DELL<br>P Type here to search<br>

Extracted text: 18 complete) Where the number in parentheses is the homoskedastic standard error for the regression coefficient B, (0.069) Suppose you wanted to test the hypothesis that B, equals zero at the 1%, 5% and 10% level. That is, Ho: B1=0 vs. H1: B1#0 %3D Report the t-statistic and p-value for this test. The t-statistic is (Round your response to two decimal places) The p-value is (Round your response to three decimal places) Can you reject the null hypothesis at the 5% significance level? O A. Yes. B. No. Construct a 95% confidence interval for the slope coefficient B,. The 95% confidence interval for the slope coefficient B, is [ D (Round your response to three decimal places) Click to select your answer(s). d. DELL P Type here to search

What-If Forecast<br>a日Ung<br>Advanced<br>Columns cO<br>Analysis Sheet<br>ESub<br>Data Types<br>Sort & Filter<br>Data Tools<br>Forecast<br>H.<br>一<br>K<br>L<br>N<br>SUMMARY OUTPUT<br>Regression Statistics<br>Multiple R<br>0.009746989<br>R Square<br>9.50038E-05<br>Adjusted R Square<br>-0.010108108<br>Standard Error<br>1.798411671<br>Observations<br>100<br>ANOVA<br>df<br>SS<br>MS<br>Significance F<br>Regression<br>0.030115256<br>0.030115256 0.009311257<br>0.923324618<br>Residual<br>98<br>316.9598847<br>3.234284538<br>Total<br>99<br>316.99<br>t Stat<br>P-value<br>Lower 95%<br>Upper 95%<br>Lower 95.0% Upper 95.0%<br>Coefficients<br>Standard Error<br>13.03363951<br>14.0194215<br>13.03363951<br>14.0194215<br>0.24837444<br>54.46023549 4.51479E-75<br>Intercept<br>13.52653051<br>-0.006680477<br>0.06923143 -0.096494857 0.923324618 -0.144067996 0.130707042 -0.144067996 0.130707042<br>Distance<br>LL<br>

Extracted text: What-If Forecast a日Ung Advanced Columns cO Analysis Sheet ESub Data Types Sort & Filter Data Tools Forecast H. 一 K L N SUMMARY OUTPUT Regression Statistics Multiple R 0.009746989 R Square 9.50038E-05 Adjusted R Square -0.010108108 Standard Error 1.798411671 Observations 100 ANOVA df SS MS Significance F Regression 0.030115256 0.030115256 0.009311257 0.923324618 Residual 98 316.9598847 3.234284538 Total 99 316.99 t Stat P-value Lower 95% Upper 95% Lower 95.0% Upper 95.0% Coefficients Standard Error 13.03363951 14.0194215 13.03363951 14.0194215 0.24837444 54.46023549 4.51479E-75 Intercept 13.52653051 -0.006680477 0.06923143 -0.096494857 0.923324618 -0.144067996 0.130707042 -0.144067996 0.130707042 Distance LL

Jun 08, 2022

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18 complete) Where the number in parentheses is the homoskedastic standard error for the regression coefficient B, (0.069) Suppose you wanted to test the hypothesis that B, equals zero at the 1%, 5%...

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