Question

In: Statistics and Probability

The time series showing the sales of a particular product over the past 12 months is...

The time series showing the sales of a particular product over the past 12 months is contained in the Excel Online file below. Construct a spreadsheet to answer the following questions.

  1. Use a=0.2 to compute the exponential smoothing forecasts for the time series (to 2 decimals).


    Month

    Time-Series
    Value

    Forecast
    1 105
    2 130
    3 125
    4 100
    5 90
    6 120
    7 150
    8 135
    9 95
    10 75
    11 100
    12 105
    13
  2. Use a smoothing constant of a=0.5 to compute the exponential smoothing forecasts (to 2 decimals).


    Month
    Time-Series
    Value

    Forecast
    1 105
    2 130
    3 125
    4 100
    5 90
    6 120
    7 150
    8 135
    9 95
    10 75
    11 100
    12 105
    13

    Compute MSE (to 2 decimals).

    MSE ( a= 0.2 ) : (___)
    MSE ( a = 0.5) : (___)
 
Month Time-Series Value
1 105
2 130
3 125
4 100
5 90
6 120
7 150
8 135
9 95
10 75
11 100
12 105
13
 

Solutions

Expert Solution

Formula for exponential smoothing forecast

where

is the forecast demand for the time t

is the smoothing constant

is the actual value for time t-1

is called the damping factor

is the forecast value for the time t-1

We will now put the formula in Excel.

Formula for MSE (Mean Square Error)

If it helps, kindly upvote.

Comment below for doubt


Related Solutions

The following time series shows the sales of a particular product over the past 12 months....
The following time series shows the sales of a particular product over the past 12 months. Month Sales 1 105 2 135 3 120 4 105 5 90 6 120 7 145 8 140 9 100 10 80 11 100 12 110 (a) Construct a time series plot. (b) Use α = 0.3 to compute the exponential smoothing forecasts for the time series. (Round your answers to two decimal places.) Month t Time Series Value Yt Forecast Ft 1 105...
The following time series shows the sales of a particular product over the past 12 months....
The following time series shows the sales of a particular product over the past 12 months. Month Sales 1 105 2 135 3 120 4 105 5 90 6 120 7 145 8 140 9 100 10 80 11 100 12 110 (a) Construct a time series plot. A time series plot contains a series of 12 points connected by line segments. The horizontal axis ranges from 0 to 13 and is labeled: Month. The vertical axis ranges from 0...
The following time series shows the sales of a particular product over the past 12 months....
The following time series shows the sales of a particular product over the past 12 months. can be found in the below excel file. https://drive.google.com/file/d/1gIpr0IBYUGgCIRSO7g3mqZ84F89vJU_P/view?usp=sharing 1. Using the three-month moving average, what is the Mean Squared Error (MSE)? (Round your answer to 2 decimal places. Negative values should be indicated by a minus sign.) 2.  Using the three-month moving average, what is the forecast for month 13 ? (Round your answer to 2 decimal places. Negative values should be indicated by...
The following time series shows the sales of a particular product over the past 12 months....
The following time series shows the sales of a particular product over the past 12 months. Month Sales 1 105 2 135 3 120 4 105 5 90 6 120 7 145 8 140 9 100 10 80 11 100 12 110 Use α = 0.5 to compute the exponential smoothing forecasts for the time series. (Round your answers to two decimal places.) Month t Time Series Value Yt Forecast Ft 1 105 2 135 3 120 4 105 5...
The following time series shows the sales of a particular product over the past 12 months....
The following time series shows the sales of a particular product over the past 12 months. Month Sales 1 105 2 135 3 120 4 105 5 90 6 120 7 145 8 140 9 100 10 80 11 100 12 110 (b) Use α = 0.4 to compute the exponential smoothing forecasts for the time series. (Round your answers to two decimal places.) Month t Time Series Value Yt Forecast Ft 1 105 2 135 3 120 4 105...
The following times series shows the demand for a particular product over the past 10 months....
The following times series shows the demand for a particular product over the past 10 months. Month 1 2 3 4 5 6 7 8 9 10 Value 324 311 303 314 323 313 302 315 312 326 a.   Use α = 0.2 to compute the exponential smoothing values for the time series. Compute MSE and a forecast for month 11. b.   Develop a three-week moving average for this time series. Compute MSE and a forecast for month 11. c.  ...
The following times series shows the demand for a particular product over the past 10 months....
The following times series shows the demand for a particular product over the past 10 months. Month Value 1 324 2 311 3 303 4 314 5 323 6 313 7 302 8 315 9 312 10 326 a. Use α = 0.2 to compute the exponential smoothing values for the time series. Compute MSE, MAPE and a forecast for month 11. b. Calculate MSE and MAPE for three month moving average ? c. Compare the three-month moving average forecast...
Based on data that was collected over the past several months, the average time between arrivals...
Based on data that was collected over the past several months, the average time between arrivals to the Emergency Room on a Monday between the hours of 7am to 7pm is 35min. Emergencies occur at random, and hence the arrival of patients to the Emergency Room follows a purely random process. What probability distribution would you use to model the time between patient arrivals? Suppose a patient just arrived, what is the probability the next patient will arrive in less...
Sales of floor cleaners at Lavoie's Flooring Co. over the past 13 months are as follows:...
Sales of floor cleaners at Lavoie's Flooring Co. over the past 13 months are as follows: Sales of floor cleaners -Lavoie's Flooring Co.   Month Sale ($1,000s) Total 3 Months 3 Months Avg. January 11 February 14 41 13.66666667 March 16 40 13.33333333 April 10 41 13.66666667 May 15 42 14 June 17 43 14.33333333 July 11 42 14 August 14 42 14 September 17 43 14.33333333 October 12 43 14.33333333 November 14 42 14 December 16 41 13.66666667 January 11...
1.      The demand data for a product over the past 5 months are shown below: MONTH...
1.      The demand data for a product over the past 5 months are shown below: MONTH DEMAND (number of units sold) Five months ago 51 Four months ago 58 Three months ago 63 Two months ago 71 Last month 77 a.      Plot the monthly demand data using a software OR on a sheet of graph paper. b.      Use TREND PROJECTIONS method to determine the equation of the trend line estimating the linear relationship between time (in months) and demand (in...
ADVERTISEMENT
ADVERTISEMENT
ADVERTISEMENT