# From april through august seasonal indices are more

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Case Notes 47 Overall, the best fitting model to these data was the quadratic trend analysis model. The model produced by this analysis is 91.6691 - 6.21916 t + 0.266113 t 2 . Using t = 15 to represent the year 2002, the predicted per-unit labor cost is: 91.6691 - 6.21916(15) + 0.266113 (15) 2 = 58.26. Shown below is the graphical analysis for the quadratic trend model produced using MINITAB. DeBourgh can become more productive and produce better quality lockers by reducing costs (particularly those do to poor work, scrap, rework, poor raw materials, etc.). Actual Predicted Actual Predicted 0 5 10 15 55 65 75 85 Cost Time Moving Average Length: MAPE: MAD: MSD: 2 6.4362 4.0717 51.6762 Moving Average
Case Notes 48 Actual Predicted Actual Predicted 15 10 5 0 85 75 65 55 Labor Cost Time MSD: MAD: MAPE: Alpha: Smoothing Constant 37.2189 2.9569 4.6176 0.987 Single Exponential Smoothing Actual Fits Actual Fits 15 10 5 0 85 75 65 55 Labor Cost Time Yt = 91.6691 - 6.21916*t + 0.266113*t**2 MSD: MAD: MAPE: 16.7767 2.8426 3.9710 Trend Analysis for Labor Cost Quadratic Trend Model

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Case Notes 49 Chapter 17 Schwinn 1. Since two independent samples are being compared and the shape of the population distribution is unknown, the Mann-Whitney U test is used to analyze the data rather than the t test for two independent samples.
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