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%3DReport 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.DELLP Type here to search What-If Forecasta日UngAdvancedColumns cOAnalysis SheetESubData TypesSort & FilterData ToolsForecastH.一KLNSUMMARY OUTPUTRegression StatisticsMultiple R0.009746989R Square9.50038E-05Adjusted R Square-0.010108108Standard Error1.798411671Observations100ANOVAdfSSMSSignificance FRegression0.0301152560.030115256 0.0093112570.923324618Residual98316.95988473.234284538Total99316.99t StatP-valueLower 95%Upper 95%Lower 95.0% Upper 95.0%CoefficientsStandard Error13.0336395114.019421513.0336395114.01942150.2483744454.46023549 4.51479E-75Intercept13.52653051-0.0066804770.06923143 -0.096494857 0.923324618 -0.144067996 0.130707042 -0.144067996 0.130707042DistanceLL

Compute the test statistic by substituting b1=-0.0067 and s.eb1=0.0692 from the output table in the…

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 Lower 95.0% Upper 95.0% 14.0194215 Coefficients Standard Error t Stat P-value Lower 95% Upper 95% Intercept 13.52653051 0.24837444 54.46023549 4.51479E-75 13.03363951 14.0194215 13.03363951 -0.006680477 0.06923143 -0.096494857 0.923324618 -0.144067996 0.130707042 -0.144067996 0.130707042 Distance

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 Lower 95.0% Upper 95.0% 14.0194215 Coefficients Standard Error t Stat P-value Lower 95% Upper 95% Intercept 13.52653051 0.24837444 54.46023549 4.51479E-75 13.03363951 14.0194215 13.03363951 -0.006680477 0.06923143 -0.096494857 0.923324618 -0.144067996 0.130707042 -0.144067996 0.130707042 Distance

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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