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# Assignment%205_Results - 2011-57,710-10371.67(0.951-49,777...

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SUMMARY OUTPUT Regression Statistics Multiple R 0.670 R Square 0.449 Adjusted R Square 0.429 Standard Error 19975.4 Observations 29 Estimated Rho(autocorrelation coefficient) = 0.837, maximum value = 1.0 ANOVA df SS MS F Significance F Regression 1 8.793E+09 8.79E+09 22.036095 6.92712E-05 Residual 27 1.077E+10 3.99E+08 Total 28 1.957E+10 Coefficients Std. Error t Stat P-value Lower 95% Upper 95% Intercept -10371.67 6159.7282 -1.68379 0.1037514 -23010.388 2267.04829 Lagged-Jobs 0.95100261 0.2025883 4.694262 6.927E-05 0.53532573 1.36667948 Question 2 Projected Migration 2010 -17,789 (-10371.67 + (0.951 * -7,800))

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Unformatted text preview: 2011-57,710 (-10371.67 + (0.951 * -49,777)) No. 3 The slope of 0.951 indicates that every 100 new jobs will result in a net increase of 95 domestic migrants or a loss of 100 jobs will result in a net decrease of 95 domestics migrants. No. 4. The equation could be improved by: 1. Addding other variables such as income, wages, unemployment 2. Taking into account autocorrelated residuals in estimating the equation 3. Including variables that relate the San Diego and U.S. economies....
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