Regresion Example 2

Regresion Example 2 - SUMMARY OUTPUT Regression Statistics...

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SUMMARY OUTPUT Regression Statistics Multiple R 0.6233156 R Square 0.3885223 Adjusted R 0.3179672 Standard E2.2161226 Observatio 30 ANOVA df SS MS F ignificance F Regression 3 81.132768 27.044256 5.5066502 0.0045918 Residual 26 127.69118 4.9111992 Total 29 208.82395 Coefficientstandard Erro t Stat P-value Lower 95%Upper 95%Lower 95.0% Upper 95.0% Intercept 0.5712431 1.0016208 0.5703188 0.5733576 -1.487618 2.6301041 -1.487618 2.6301041 Assets -0.000208 0.0002753 -0.754235 0.4574851 -0.000774 0.0003583 -0.000774 0.0003583 SE 0.0005165 0.0004624 1.116949 0.274232 -0.000434 0.0014671 -0.000434 0.0014671 PPE 0.14819 0.0521352 2.8424144 0.0085978 0.0410244 0.2553555 0.0410244 0.2553555
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SUMMARY OUTPUT Regression Statistics Multiple R 0.6124895 R Square 0.3751434 Adjusted R 0.3288577 Standard E2.1983581 Observatio 30 ANOVA df SS MS F ignificance F Regression 2 78.338929 39.169465 8.1049577 0.00175 Residual 27 130.48502 4.8327784 Total 29 208.82395 Coefficientstandard Erro t Stat P-value Lower 95%Upper 95%Lower 95.0% Upper 95.0% Intercept 0.4292162 0.9758748 0.4398271 0.663563 -1.573114 2.431546 -1.573114 2.431546 SE 0.0001706 5.92E-005 2.8841643 0.0076173 4.92E-005 0.000292 4.92E-005 0.000292 PPE 0.152004 0.0514735 2.953054 0.0064445 0.0463891 0.2576188 0.0463891 0.2576188
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SUMMARY OUTPUT Regression Statistics Multiple R 0.4273546 R Square 0.182632 Adjusted R Square 0.1534402 Standard Error 2.4689936 2.4689936
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Regresion Example 2 - SUMMARY OUTPUT Regression Statistics...

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