The following table shows the actual values and forecast values calculated using a linear trend with...
The following table shows the actual values and forecast values calculated using a linear trend with seasonality model for a time series of quarterly price index:
|
Actual value |
Forecast value |
|
|
2018, Q1 |
70.0 |
71.3 |
|
2018, Q2 |
74.0 |
73.4 |
|
2018, Q3 |
76.7 |
74.4 |
|
2018, Q4 |
78.3 |
79.8 |
The Mean Absolute Deviation (MAD) for the forecast method is Answer (please round your answer to 2 decimal places).
Homework Answers
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The following table shows the actual values and forecast values
calculated using a linear trend with...
Year Quarter Units 1 Q1 20 1 Q2 100 1 Q3 175 1 Q4 13 2...
Year Quarter Units 1 Q1 20 1 Q2 100 1 Q3 175 1 Q4 13 2 Q1 37 2 Q2 136 2 Q3 245 2 Q4 26 3 Q1 75 3 Q2 155 3 Q3 326 3 Q4 48 4 Q1 92 4 Q2 202 4 Q3 384 4 Q4 82 5 Q1 176 5 Q2 282 5 Q3 445 5 Q4 181 Using this data: a. Plot this data on a line chart with quarters from years 1-5 on...
updated pictures The deseasonalized sales for this period when the actual sales are 2,275.00 units and...
updated pictures
The deseasonalized sales for this period when the actual sales are 2,275.00 units and the seasonal index for this period is 1.622 Answer format: Number: Round to: 2 decimal places The forecast with out seasonality is modeled as: Sales = 6*1 +245.00, where to time in months, beginning in January 2015. Seasonality for the first three months are given in the table below. Determine a seasonalized forecast for Feb of 2016 Month Seasonal Factor January 1 9000 February...
The following table shows predicted product demand using your particular forecasting method along with the actual...
The following table shows predicted product demand using your particular forecasting method along with the actual demand that occurred: FORECAST ACTUAL 1,490 1,540 1,390 1,490 1,690 1,590 1,742 1,640 1,790 1,690 a. Compute the tracking signal using the mean absolute deviation and running sum of forecast errors. (Negative values should be indicated by a minus sign. Round your "Mean Absolute Deviation", "Tracking Signal" to 2 decimal places and all other answers to the nearest whole number.) Period Forecast Actual Deviation...
nstructions You are responsible for creating the weekly forecast for Products X, Y, and Z for War Eagle Trading Company...
nstructions You are responsible for creating the weekly forecast for Products X, Y, and Z for War Eagle Trading Company (WETCO). Create and evaluate forecasts as described in questions 1-10 below. Enter your answers in the table provided at the bottom of the assignment. All forecasts should be reported to the nearest whole number. Use the following in creating all forecasts: a7 W.6 n 3 W 3 Wa1 W 01 Demand for weeks 1-9 for each product is shown below....
Retail trade accounts form a significant amount of the Australian economy. It is always important to...
Retail trade accounts form a significant amount of the
Australian economy. It is always important to study the behaviour
of retail turnovers and forecast future Australian retail trade. We
have obtained a sample of quarterly Australian retail turnovers
from Q1, 2006 to Q2, 2019.
Turnover of Australian retail trade (2006-2019) ($m) 100000 90000 80000 Turnover ($m) 70000 60000 Алллллллл. 50000 40000 о 4 12 16 20 24 28 32 36 40 44 40 52 Quarters a. “The time series plot...
The data below represent the call volumes over 16 quarters from a call center at a...
The data below represent the call volumes over 16 quarters from a call center at a major financial institution. Develop a forecasting model for the volume of calls (in 000 units). 2010 2011 2012 2013 Q1 473 544 628 709 Q2 513 582 707 725 Q3 582 681 773 854 Q4 474 557 592 661 Quarterly Average Seasonal Index 588.50 0.93645 631.75 1.005271 722.50 1.149677 571.00 0.908603 628.44 (a) Create a time series graph showing the: (1) actual data, (2)...
updated pictures
The deseasonalized sales for this period when the actual sales are 2,275.00 units and the seasonal index for this period is 1.622 Answer format: Number: Round to: 2 decimal places The forecast with out seasonality is modeled as: Sales = 6*1 +245.00, where to time in months, beginning in January 2015. Seasonality for the first three months are given in the table below. Determine a seasonalized forecast for Feb of 2016 Month Seasonal Factor January 1 9000 February...
nstructions You are responsible for creating the weekly forecast for Products X, Y, and Z for War Eagle Trading Company (WETCO). Create and evaluate forecasts as described in questions 1-10 below. Enter your answers in the table provided at the bottom of the assignment. All forecasts should be reported to the nearest whole number. Use the following in creating all forecasts: a7 W.6 n 3 W 3 Wa1 W 01 Demand for weeks 1-9 for each product is shown below....
Retail trade accounts form a significant amount of the
Australian economy. It is always important to study the behaviour
of retail turnovers and forecast future Australian retail trade. We
have obtained a sample of quarterly Australian retail turnovers
from Q1, 2006 to Q2, 2019.
Turnover of Australian retail trade (2006-2019) ($m) 100000 90000 80000 Turnover ($m) 70000 60000 Алллллллл. 50000 40000 о 4 12 16 20 24 28 32 36 40 44 40 52 Quarters a. “The time series plot...
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