Please solve attached. Solve part b. Given a time series comprising the last two years of quarterly data ($ thousands)a) Complete the following table using 3 decimal places in your answers where necessary.Time left 1:27:Period12345Output686.54.69.813.66.9MovingAverage510.414.1Centered MovingAverage b) If the de-seasonalised trend equation is Y = 8.110 + 0.09t.Use the trend equation as well as information from part (a) to complete the following table(use 3 decimal places in your answers where necessary)Period Seasonal IndexForecast9101112Seasonal Forecast

PeriodOutput16.524.639.8413.656.965710.4814.1

b) If the de-seasonalised trend equation is Y = 8.110 + 0.09. Use the trend equation as well as information from part (a) to complete the following table (use 3 decimal places in your answers where necessary) Period Seasonal Index Forecast 9 10 11 12 Seasonal Forecast

b) If the de-seasonalised trend equation is Y = 8.110 + 0.09. Use the trend equation as well as information from part (a) to complete the following table (use 3 decimal places in your answers where necessary) Period Seasonal Index Forecast 9 10 11 12 Seasonal Forecast

Mathematics For Machine Technology

8th Edition

ISBN:9781337798310

Author:Peterson, John.

Publisher:Peterson, John.

Chapter23: Basic Calculations Of Percentages, Percents, And Rates

Section: Chapter Questions

Problem 14A

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Question

Please solve attached. Solve part b.

Given a time series comprising the last two years of quarterly data ($ thousands)
a) Complete the following table using 3 decimal places in your answers where necessary.
Time left 1:27:
Period
1
2
3
4
5
Output
6
8
6.5
4.6
9.8
13.6
6.9
Moving
Average
5
10.4
14.1
Centered Moving
Average

b) If the de-seasonalised trend equation is Y = 8.110 + 0.09t.
Use the trend equation as well as information from part (a) to complete the following table
(use 3 decimal places in your answers where necessary)
Period Seasonal Index
Forecast
9
10
11
12
Seasonal Forecast

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Step 1: Write the given information.

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Step 2: Determine the moving average and centered moving average using the given data.

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Step 3: Determine the seasonal index, forecast and seasonal forecast using trend equation.

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