We have done all the calculations in excel sheet
Following are the excel formulas we used in excel sheet for calculating weighted moving average, error and mean error square.
Following is the result obtained:
Please note blue values are the answers for Part a)
Answer b)
MSE = 7.61 (Please check the red text in Error^2 column of result table.
Since MSE of unweighted moving average (7.17) is less than MSE of weighted moving average (7.61), so we prefer unweighted moving average.
Prefer the unweighted moving average here; it has a smaller MSE.
Answer c)
You could always find a weighted moving average at least as good as the unweighted one; actually the unweighted moving average is a special case of the weighted ones where the weights are equal.
Check My Work (3 remaining Consider the following gasoline sales time series data. Click on the d...
Consider the following gasoline sales time series data. Click onthe datafile logo to reference the data. Week Sales (1000s of gallons) 17 21 17 15 20 18 21 21 16 21 6 10 12 a. Using a weight of for the most recent observation, for the second most recent observation, and the time series (to 2 decimals). Enter negative values as negative numbers. third the most recent observation, compute a three-week weighted moving average for Forecast Weighted Moving Average Forecast...
Consider the following gasoline sales time series data. Click on the datafile logo to reference the data 00s Week of gallons) 18 21 18 24 18 17 1S 17 21 10 11 16 21 12 a. Using a welight of for the most recent observation, for the second most recent observation, andthird the most recent observation, compute a three-week weighted moving averape for the time serles (to 2 declmals). Enter negative values as negative numbers. Weighted Moving Forecast (Error)2 Time-Series...
Consider the following gasoline sales time series data. Click on the datafile logo to reference the data. Week Sales (1000s of gallons) 1 17 2 20 3 19 4 23 5 18 6 16 7 19 8 18 9 23 10 19 11 15 12 22 a. Using a weight of for the most recent observation, for the second most recent observation, and third the most recent observation, compute a three-week...
Please answer every fill in the blank shown, I will make sure to up vote, thank you! Consider the following gasoline sales time series data. Click on the datafile logo to reference the data Week Sales (1000s of gallons) 18 18 18 16 19 18 23 21 15 23 10 12 a. Using a weight of-for the most recent observation for the second most recent observation, and time series (to 2 decimals). Enter negative values as negative numbers. third the...
please check work Suppose these data show the number of gallons of gasoline sold by a gasoline distributor in bennington, Vermont, over the past 12 ASWSBE13 17.E.008 DETAILS MY NOTES Week Sales (1.000 of gallons) 1 17 21 2 3 19 4 23 5 18 6 16 7 20 8 18 9 22 10 20 11 15 12 22 (a) Using a weight of for the most recent observation, for the second most recent observation, and for third most recent...
Module 9 Homework MINDTAP work Exercise 17.08 Algorithmic Consider the following gasoline sales time series data. Click on the datafile logo to reference the data. Week Sales (1000s of gallons) 18 21 18 24 18 16 20 17 21 21 14 21 8 10 12 a. Using a weight of 7 for the most recent observation, for the second most recent observation, and third the m average for the time series (to 2 decimals). Enter negative values as negative numbers....
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...
I just need help with those marked with a red X, and the last question thank you! Problem 15-08 (Algorithmic) Refer again to the gasoline sales time series data in the following table. Week Sales (1000s of gallons) a. Using a weight of 1/2 for the most recent observation, 1/3 for the second most recent, and 1/6 for third most recent, compute a three-week weighted moving average for the time series. Use rounded for two decimal places values for intermediate...
Week Sales (100s of gallons) 1 18 2 22 3 19 4 24 5 17 6 16 7 21 8 19 9 23 10 21 11 15 12 21 a. using a weight of 1/2 for the most recent observation, 1/3 for the second most recent observation, and 1/6 for the third most recent observation, compute a three-week weighted moving average for the time series (to 2 decimals). Enter negative values as negative numbers. b. compute the MSE for the...
Consider the following time series dataa. Which of the following is a correct time series plot for this data?b. Develop the three-week moving average forecasts for this time series. Compute MSE and a forecast for week 7 (to 2 decimals if necessary) c. Use α = .2 to compute the exponential smoothing forecasts for the time series. Compute MSE and a forecast for week 7 ( 2 decimals). d. Compare the three-week moving average approach with the exponential smoothing approach using α-.2,...