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temperatures in St. Louis for the last week were as follows: 95,94, 94,92,95, 86, 95 (yesterday)...
Daily high temperatures in St. Louis for the last week were as follows: 95, 92, 93, 95, 95, 86, 95 (yesterday). a) The high temperature for today using a 3-day moving average = ? degrees (round your response to one decimal place). b) The high temperature for today using a 2-day moving average = ? degrees (round your response to one decimal place). c) The mean absolute deviation based on a 2-day moving average = ? degrees (round your response...
Daily high temperatures in St. Louis for the last week were as follows: 95, 94, 95, 95, 95, 90, 90 (yesterday). a) The high temperature for today using a 3-day moving average = nothing degrees (round your response to one decimal place). b) The high temperature for today using a 2-day moving average = nothing degrees (round your response to one decimal place). c) The mean absolute deviation based on a 2-day moving average = nothing degrees (round your response...
Daily high temperatures in St. Louis for the last week were as follows: 92, 91, 94, 94, 96, 86, 90 (yesterday). a) The high temperature for today using a 3-day moving average = 90.67 degrees (round your response to one decimal place) b) The high temperature for today using a 2-day moving average = 88 degrees (round your response to one decimal place). c) The mean absolute deviation based on a 2-day moving average = 3.2 degrees (round your response...
Daily high temperatures in St. Louis for the last week were as follows: 33, 33, 38, 36, 43, 23, 28 (yesterday). Forecast the high temperature today, using a 3-day moving average. Forecast the high temperature today, using a 2-day moving average. For questions c-e use all the days where a 3-day forecast value is possible. Calculate the mean absolute deviation based on a 3-day moving average. Compute the mean squared error for the 3-day moving average. Calculate the mean absolute...
Chapter 4 Forecasting Homework Assignment Daily high temperatures in St. Louis for the last week were as follows: 34, 36, 37, 39, 35, 32, and 36 (yesterday). Forecast the high temperature today, using a 3-day moving average. Forecast the high temperature today, using a 2-day moving average. For questions c-e use all the days where a 3-day forecast value is possible. Calculate the mean absolute deviation based on a 3-day moving average. Compute the mean squared error for the 3-day...
Problem 1 (20 points) Daily high temperatures in Chicago for the past week were as follows 32, 37,50, 17, 23, 23, and 34 (yesterday). a) Forecast the high temperature today, using a 3-day moving average b) Forecast the high temperature today, using a 2-day moving average c) Calculate the mean absolute deviation based on a 2-day moving average d) Calculate the mean square error for the 2-day moving average e) Calculate the mean absolute percent error for the 2-day moving...
The number of internal disk drives (in milions) made at a plant in Talwan during the past 5 years follows: Disk Drives 142 156 196 204 216 Year a) Using simple linear regression, the forecast for the number of disk drives to be made next year disk drives (round your response to one decimal place) b) The mean squared error(MSE) when using simple inear c) The mean absolute percentage error (MAPE) when using simple linear regression . regressiondrives (round your...
The number of internal disk drives (in millions) made at a plant in Taiwan during the past 5 years follows: Year Disk Drives 1 142 2 156 3 184 4 204 5 210 a) Using simple linear regression, the forecast for the number of disk drives to be made next year = disk drives (round your response to one decimal place). b) The mean squared error (MSE) when using simple linear regression = drives squareddrives2 (round your response to...
Question 30 (1 point) What will be the MAPE (Mean Absolute Percent Error) of the table below? (Round your answer to 2 decimal places, keep in decimal format) Three period moving average Period Sales($millions) Forecast Error Absolute Error Squared Error Abs Percent error 1 7 2 5 3 9 4 11 7.00 8.33 5 13.5 Your Answer: Answer uestion 31 (1 point) Saved
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...