(b) Develop a three-week moving average for this time series. Compute MSE and a forecast for week 7.If required, round your answers to two decimal places.Week ValueForecast1162151741316613MSE:The forecast for week 7:(c) Use a = 0.2 to compute the exponential smoothing values for the time series. Compute MSE and a forecast for week 7.If required, round your answers to two decimal places.Week ValueForecast116215317413516613MSE:The forecast for week 7:LO Consider the following time series data.Week1456Value1615171316133.

Answered: Image /qna-images/answer/e781d39a-c520-4f72-a85f-ad6bc1fa0718.jpg

Answered: (b) Develop a three-week moving average…

MATLAB: An Introduction with Applications

6th Edition

ISBN:9781119256830

Author:Amos Gilat

Publisher:Amos Gilat

Chapter1: Starting With Matlab

Section: Chapter Questions

Problem 1P

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Please explain steps so I can understand. An electrical contractor's records during the last five weeks indicate the number of job requests: Week 1 2 3 4 5 Requests 21 22 18 21 22 Predict the number of requests for week 6 using each of these methods: Naive A three period moving average Weighted moving average using 0.50 for week 5, 0.35 for week 4, and 0.15 for week 3. Exponential smoothing with α = .30. Use 20 for week 2 forecast.
a. Sales of the Flying Flintmobile has been increasing over the past five years. The operations manager has estimated sales in 2017 to be 410 Flving Flintmobiles. Using exponential smoothing with a weight of a = 0.30, develop forecasts for 2017 through 2022. Year Sales Forecast 2016 450 2017 495 2018 518 2019 563 2021 584 2022
The data for this problem are the air freight shipments (in ton-miles) each month (beginning in January for one year) in the U. S. for 10 years. The following is a time series plot of this data. What are the most important features of this plot? Ton-miles 3000- 2500- 2000- 1500- 1000- 1 Time Series Plot of Ton-miles ܚ ܪܘܐܐܐ ܘ ܚܐ ܀ 12 24 36 48 60 Index 72 84 96 108 120
Month Sales Forecast January 1000 1043 February 3000 March 5000 April 4000 May 5000 June 6000 Compute the forecast for the month of July using simple exponential smoothing. Take alpha = 0.2
Given the number of calls per week received by a dental clinic, what is the forecasted number of calls for week 12 considering that the forecast for week 1 was 47 and a smoothing constant a -0.2? CALLS 52 35 25 36 45 35 44 WEEK 1 2 3 4 5 6 7 869 10 34 calls 35 calls 33 calls 38 calls 30 35 25
the following information, Find the forecast for period two using exponential smoothing and a = 0.3. Period 2 Demand 64 70 A Forecast 59
Solve #3 with data shown.
The following table gives the personal savings (in billions of dollars) in the United States for selected years. Year 2005 2010 2011 2012 2013 2014 2015 2016 Personal Savings (billions) $153.8 189.3 187.5 142.0 155.7 152.1 175.6 199.6 5. Find the average rate of change between the years 2010 and 2012. 6. Interpret questions 4 and 5 on the graph. 7. Find the point of inflection of the regression equation and interpret what it means.
Table 3 gives the market value of a luxury sedan (in dollars) xyears after its purchase. Find an exponential regression model of the form y= ab* for this data set. Estimate the purchase price of the sedan. Estimate the value of the sedan 10 years after its purchase. Round answers to the nearest dollar. TABLE 3 Value ($) 1 23,125 19,050 3 15,625 11,875 5 9,450 6 7,125 2.
R1
Q1: In what years were global temperatures the lowest? Q2: In what years were global temperatures the highest? Q3: What trend is apparent in this graph of actual global temperatures?
Using exponential smoothing, calculate the forecasts for months 2, 3, 4, 5, and 6. Thesmoothing constant is 0.2, and the old forecast for month 1 is 245.

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