chipco - Regression 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16...

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Regression Page 1 SUMMARY OUTPUT Regression Statistics Multiple R 0.99 R Square 0.97 Adjusted R 0.97 Standard E 7261.64 Observation 16 ANOVA df SS MS F ignificance F Regression 1 ### ### 481.32 0 Residual 14 ### ### Total 15 ### Coefficientstandard Erro t Stat P-value Lower 95%Upper 95%Lower 95.0% Upper 95.0% Intercept 23643.8 4716.83 5.01 0 13527.2 33760.41 13527.2 33760.41 Units Produ 198.47 9.05 21.94 0 179.06 217.87 179.06 217.87 RESIDUAL OUTPUT Observation dicted Total CResiduals 1 122876.35 8123.65 2 142722.85 -7722.85 3 103029.84 970.16 4 83183.33 -7183.33 5 182415.87 3584.13 6 202262.38 -12162.38 7 142722.85 7277.15 8 103029.84 -5029.84 9 83183.33 -5183.33 10 63336.82 -3336.82 11 103029.84 4970.16 12 142722.85 9277.15 13 162569.36 -4569.36 14 122876.35 11503.65 15 83183.33 2816.67 16 63336.82 -3334.82 A B C D E F G H I J 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40
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Data for Chipco Page 2 Cost Regression Example Month Units Produced Total Cost
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This note was uploaded on 03/17/2010 for the course ACCT acct 4360 taught by Professor Robert during the Spring '10 term at DeVry Colorado Springs.

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chipco - Regression 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16...

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