Regression Analysis Part 1

Regression Analysis Part 1 - COMPANY Wal-Mart Ford Motor...

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COMPANY ADVERSTISING($MILLIONS)SALES($BILLIONS) Wal-Mart 1,073.00 351.10 Ford Motor 2,577.00 160.10 Airbus 4,898.00 68.20 Reuters Group 2,822.00 93.20 ATT 3,345.00 63.10 Fujifilm 829.00 91.70 Toyota 3,296.00 207.30 SUMMARY OUTPUT Regression Statistics Multiple R 0.4905306732 R Square 0.2406203413 Adjusted R Square 0.0887444096 Standard Error 99.0982189491 Observations 7 ANOVA df SS MS F Significance F Regression 1 15558.7635770031 15558.7635770031 1.584322 0.2637098761 Residual 5 49102.2849944255 9820.4569988851 Total 6 64661.0485714286 Coefficients Standard Error t Stat P-value Lower 95% Upper 95% Lower 95.0% Upper 95.0% Intercept 245.6287388745 86.2663882882 2.8473284178 0.035936 23.873928196 467.3835496 23.873928196 467.383549553 ADVERSTISING($MILLIONS) -0.0363429497 0.0288734368 -1.2586984332 0.26371 -0.1105644819 0.037878583 -0.1105644819 0.0378785825 RESIDUAL OUTPUT Observation Predicted SALES($BILLIONS) Residuals Standard Residuals 1 206.6327538593 144.4672461407 1.5969604776 2 151.9729575286
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This note was uploaded on 01/26/2012 for the course BUSINESS Accounting taught by Professor N/a during the Spring '11 term at Kaplan University.

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