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Use the output below to determine whether you will use Stationary Times Series forecasting or Linear Times Series forecasting? JUSTIFY your answer choice. A B
Use the output below to determine whether you will use Stationary Times Series forecasting or Linear Times Series forecasting? JUSTIFY your answer choice.
A B C D m F G 1 SUMMARY OUTPUT 2 3 Regression Statistics 4 Multiple R 0.930528528 5 R Square 0.865883342 6 Adjusted R Square 0.827564297 7 Standard Error 1235.400329 8 Observations 10 9 10 ANOVA 11 df SS MS F Significance F 12 Regression 2 68974748.7 34487374.35 22.59668368 0.000883465 13 Residual 10683497.8 1526213.972 14 Total 9 79658246.5 15 16 Coefficients Standard Error t Stat P-value Lower 95% Upper 95% 17 Intercept 72333.08447 21969.92267 3.292368642 0.013259225 20382.47252 124283.6964 18 Week 508.6681395 168.1770861 3.024598364 0.019260863 110.9925232 906.3437559 19 Price/Gallon -16463.19901 5351.082403 -3.076611005 0.017900405 -29116.49823 -3809.899786Step by Step Solution
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