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Can I have some assistance with the problems a-h for the calculated data below output for each case study, a Find the least squares point

Can I have some assistance with the problems a-h for the calculated data below

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output for each case study, a Find the least squares point estimates bo and b, of Bo and B, on the output and report their values. b Find SSE and s on the computer output and report their values. C Find s, and the t statistic for testing the significance of the slope on the output and report their values Show (within rounding) how t has been calculated by using b, and sp, from the computer output. d Using the t statistic and an appropriate critical value, test Ho: B, = 0 versus Ha : B, # 0 by setting a equal to .05. Is the slope (regression relationship) significant at the .05 level? e Using the t statistic and an appropriate critical value, test Ho: B, = 0 versus Ha: B, # 0 by setting a equal to .01. Is the slope (regression relationship) significant at the .01 level? f Find the p-value for testing Ho: B, = 0 versus Ha: B, # 0 on the output and report its value. Using the p-value. determine whether we can reject Ho by setting a equal to . 10, .05, .01, and .001. How much evidence is there that the slope (regression relationship) is significant? g Calculate the 95 percent confidence interval for B, using numbers on the output. Interpret the interval h Calculate the 99 percent confidence interval for B, using numbers on the output. A B C D E F G H SUMMARY OUTPUT Multiple R 0.09522482 R Square 0.00906777 Adjusted R Square -0.03597461 Standard Error 5.6032119 Observations 24 ANOVA Sievificance F Regression 1 6.320524137 6.32052 0.201316328 0.658048679 Residual 22 690.7116384 31.396 Total 23 697.0321625 Coefficients Standard End / Stat P-value Lower 95. Upper SAN Lower Bald Live Sex Intercept 128.270863 11.99429852 10.6943 3.51055E -10 103.3962099 153. 1455153 103.3962099 153. 1455153 Sales -0.02021883 0.045062618 -0.44868 0.658048679 -0. 11367298 0.073235325 -0.11367298 0.073235325 RESIDUAL OUTPUT Observation addicted AdvE. Residuals 124.173315 -7.73331543 2 123.561696 -3.98169596 122.769927 2.970073245 122.387791 2.162209047 122.223614 0. 12638591 122.266882 -1.82688238 122.619903 0.62009693 8 123.099898 4.450102013 123.362136 -2. 17213615 123. 108188 -5. 10818771 11 122.779834 -0.96983398 122 846758 3.693241708 123.003656 6.846343623 122.885781 -0.23578062 122.58452 -0.94452013 122 484437 4.755563061 122. 771949 9.578051363 18 122.912672 7.947328337 19 122.722008 0. 177991862 20 122.370807 5.22080714 122.389004 -12.9190041 122.913885 -8.57388479 123.652883 0.067117 136 124.038456 6.291544135

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