Using the naïve method (most recent value) as the forecast for the next week, compute the following measures of forecast accuracy. {Didn't get last 2 parts of question and I'm not sure how to solve it.)
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Using the naïve method (most recent value) as the forecast for the next week, compute the...
Consider the following time series data. Week 1 2 3 45 6 Value 19 12 15...
Consider the following time series data. Week 1 2 3 45 6 Value 19 12 15 10 19 15 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 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...
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...
Problem 8-1 Consider the following time series data. Week Value 1 18 2 12 3 16...
Problem 8-1 Consider the following time series data. Week Value 1 18 2 12 3 16 4 5 6 11 1914 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 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...
Week 1 2 3 4 5 6 Value 18 13 16 11 17 14 Using the...
Week 1 2 3 4 5 6 Value 18 13 16 11 17 14 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 (to 1 decimal). b.Mean squared error (to 1 decimal). c. Mean absolute percentage error (to 2 decimals). d. What is the forecast for week 7 (to 2 decimals)?
Problem 15-01 (Algorithmic) Consider the following time series data. Week 1 2 3 4 5 6...
Problem 15-01 (Algorithmic) Consider the following time series data. Week 1 2 3 4 5 6 Value 18 14 15 11 19 14 Using the naïve method (most recent value) as the forecast for the next week, compute the following measures of forecast accuracy. Mean absolute error. Round your answer to one decimal place. Mean squared error. Round your answer to one decimal place. Mean absolute percentage error. Round your answer to two decimal places. What is the forecast for...
Problem 15-03 (Algorithmic) Consider the following time series data. Week 1 2 3 4 5 6...
Problem 15-03 (Algorithmic) Consider the following time series data. Week 1 2 3 4 5 6 Value 18 14 16 11 17 13 Using the naïve method (most recent value) as the forecast for the next week, compute the following measures of forecast accuracy: Mean absolute error (MAE) Mean squared error (MSE) 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...
Problem 15-01 (Algorithmic) Consider the following time series data. Week 1 2 3 4 6 Value...
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...
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...
are these correct? Consider the following time series data. Excel File: data17-01.xls Week 1 2 3...
are these correct?
Consider the following time series data. Excel File: data17-01.xls Week 1 2 3 4 5 6 Value 18 13 16 11 17 14 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 (to 1 decimal). 4.4 b.Mean squared error (to 1 decimal). 20.8 c. Mean absolute percentage error (to 2 decimals). 31.88 % d. What is the forecast for week 7...
observation, and 1/6 for the third most recent observation, compute a three-week weighted moving average for...
observation, and 1/6 for the third most recent observation, compute a three-week weighted moving average for the time series. 2. a. Using a weight of 1/2 for the most recent observation, 1/3 for the second most recent Error Forecast Sales Week 17 21 19 23 18 16 20 18 10 20 15 12 b. Compute the MSE for the weighted moving average in part (a) MSE - c. Do you prefer this weighted moving average to the unweighted moving average...
Consider the following time series data. Week 1 2 3 45 6 Value 19 12 15 10 19 15 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 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...
Problem 8-1 Consider the following time series data. Week Value 1 18 2 12 3 16 4 5 6 11 1914 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 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...
Week 1 2 3 4 5 6 Value 18 13 16 11 17 14 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 (to 1 decimal). b.Mean squared error (to 1 decimal). c. Mean absolute percentage error (to 2 decimals). d. What is the forecast for week 7 (to 2 decimals)?
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...
are these correct?
Consider the following time series data. Excel File: data17-01.xls Week 1 2 3 4 5 6 Value 18 13 16 11 17 14 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 (to 1 decimal). 4.4 b.Mean squared error (to 1 decimal). 20.8 c. Mean absolute percentage error (to 2 decimals). 31.88 % d. What is the forecast for week 7...
observation, and 1/6 for the third most recent observation, compute a three-week weighted moving average for the time series. 2. a. Using a weight of 1/2 for the most recent observation, 1/3 for the second most recent Error Forecast Sales Week 17 21 19 23 18 16 20 18 10 20 15 12 b. Compute the MSE for the weighted moving average in part (a) MSE - c. Do you prefer this weighted moving average to the unweighted moving average...
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