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1) Following time series data from Year1 to Year10 - 234, 287, 255, 310, 298, 250, 456, 412, 525, and 436 respectively and naive method

1) Following time series data from Year1 to Year10 - 234, 287, 255, 310, 298, 250, 456, 412, 525, and 436 respectively and naive method what is the MAPE for all forecasts? a) 12.68 b) 11.56 c) 15.33 d) 18.86 2) Number of pizzas ordered on Friday evenings between 5:30 and 6:30 at pizza silo very location for the last 10 weeks. 58, 46, 55, 39, 42, 63, 54, 55, 61, 52. Use exponential smoothing to forecast. What is the MSE using alpha = 0.8? a) 84.12 b) 67.75 c) 89.67 d) 107.17 3) Following time series data from Year1 to Year10 - 234, 287, 255, 310, 298, 250, 456, 412, 525, and 436 respectively and ES (alpha = 0.2) method, what is the MAPE for all forecasts? a) 12.68 b) 11.56 c) 15.33 d) 18.86 4) Following time series data from Year1 to Year10 - 234, 287, 255, 310, 298, 250, 456, 412, 525, and 436. Using ES (alpha = 0.2) method, what is the forecast bias? a) 69.81 b) 80.34 c) 15.89 d) 32.05

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