Question: wiley-marketing-analytics-data-driven-techniques-with-microsoft-excel-2014.pdf (page 213 of 722) ~ Q Se Using Multiple Regression to Forecast Sales A B C D E G H 1 SUMMARY OUTPUT 2

wiley-marketing-analytics-data-driven-techniques-with-microsoft-excel-2014.pdf (page 213 of 722) ~ Q Se Using Multiple Regression to Forecast Sales A B C D E G H 1 SUMMARY OUTPUT 2 3 Regression Statistics 4 Multiple R 0.731106465 R Square 0.534516564 Adjusted R Square 0.452372545 Standard Error 58.42625704 8 Observations 21 10 ANOVA df SS MS F Significance F 12 Regression 3 66638.03186 22212.68 6.507059 0.003940222 13 Residual 17 58031.66769 3413.628 14 Total 20 124669.6996 15 16 Coefficients Standard Error t Stat P-value Lower 95% Upper 95% Lower 95.0 Upper 95.0% 17 Intercept -114.8351503 78.28996449 -1.46679 0.160688 -280.012537 50.34224 280.0125369 50.3422364 18 GNP per head 0.002297712 0.00095193 2.413741 0.027355 0.000289316 0.004306 0.000289316 0.004306108 19 Unemployment rate 4.219524573 4.840005896 0.871802 0.395463 -5.99199526 14.43104 -5.991995264 14.43104441 20 Mage spend on education 21.4226983 12.73611957 1.682043 0.110837 -5.44816518 48.29356 -5.448165177 48.29356178 Figure 10-3: First multiple regression output

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