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Consider the following time series data. Week 1 2 3 4 5 6 Value 20 13 15 11 17 14 Using the naïve method (most recent value) as the forecast for the next week, compute the following measures of forecast accuracy: a. Mean absolute error (MAE) b. Mean squared error (MSE) c. Mean absolute percentage error (MAPE) Round your answers to two decimal places. MAE = MSE = MAPE = Using the average of all the historical data as a...
Please help Consider the following time series data. 3 4 5 6 Week 12 18 14 Value 17 1018 15 Using the average of all the historical data as a forecast for the next period, compute the following measures of forecast accuracy. (Round your answers to two decimal places.) (a) mean absolute error MAE - (b) mean squared error MSE - (c) mean absolute percentage error MAPE 96 (d) What is the forecast for week 7?
Consider the following time series data. Week 1 2 3 4 5 6 Value 18 13 17 11 17 15 Calculate the measures of forecast error using the naive (most recent value) method and the average of historical data (to 2 decimals). Naive method Historical data Mean absolute error Mean squared error Mean absolute percentage error Top of Form Consider the following time series data. Month 1 2 3 4 5 6 7 Value 23 14 19 10 18 23...
1.Please use the Hawkins sheet. What is the MFE , MAE , MSE , and MAPE for a three-month moving average forecast? Round to two decimal places. 2.Please use the Hawkins sheet. What is the MFE , MAE , MSE , and MAPE for the exponential smoothing forecast with alpha = 0.2? Round to two decimal places. 3.Please use the Hawkins sheet. Based on the MSE values found in Questions 1 & 2, which forecast is best? ------------------------------------------------------------------ Thank you...
Note: Data for these problems are in the Module 2 Individual Assignments Data file - there is a tab for each problem, All answers should be entered using two decimal places unless otherwise specified. If both decimal places are zeros-then just enter the integer value. Percentages should be entered without"%" sign- 3.45% should be entered as 3.45. M2 IND1. Mariah Henderson is a WCU student who has just finished her junior year. The data in Worksheet IND1 summarizes her grade...
Please help. I'm stuck. DATA: Gassins These data show the number of palons of gasoline sold by a gasoline distributor in Bennington, Vermont, over Week Sales (1.000s of gallons) 1 17 21 N 3 19 4 22 5 18 6 16 2 20 8 18 9 22 10 20 11 15 12 22 Show the exponential smoothing forecasts using a=0.1. (Round your answers to two decimal places.) Time Series Value Forecast Week 1 17 2. 21 19 23 5 18...
the answer is not 41.1 OR -13.42 Consider the following time series data. Week12 345 6 Value 20 12 15 11 18 13 Using the naive method (most recent value) as the forecast for the next week, compute the following measures of forecast accuracy (a) Mean absolute error If required, round your answer to one decimal place 5.4 (b) Mean squared error If required, round your answer to one decimal place. 32.6 (c) Mean absolute percentage error If required, round...
Problem 15-01 (Algorithmic) Consider the following time series data. Week 1 2 3 4 6 Value 20 14 16 10 18 14 Using the naiïve method (most recent value) as the forecast for the next week, compute the following measures of forecast accuracy a. Mean absolute error. Round your answer to one decimal place. b. Mean squared error. Round your answer to one decimal place. c. Mean absolute percent error. Round you answer to two decimal places. d. What is...
Consider the following time series data. Week 1 2 3 45 6 Value 20 12 15 11 18 13 Using the naive method (most recent value) as the forecast for the next week, compute the following measures of forecast accuracy. (a) Mean absolute error If required, round your answer to one decimal place. (b) Mean squared error If required, round your answer to one decimal place. (c) Mean absolute percentage error If required, round your intermediate calculations and final answer...
Consider the following time series data. Week 1 2 3 4 5 6 Value 1914 16 10 19 13 Using the naïve method (most recent value) as the forecast for the next week, compute the following measures of forecast accuracy. a. Mean absolute error. Round your answer to one decimal place. b. Mean squared error. Round your answer to one decimal place. c. Mean absolute percentage error. Round your answer to two decimal places. d. What is the forecast for...
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