(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

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Problem 1P

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An analyst must decide between two different forecasting techniques for weekly sales of roller blades: a linear trend equation and the naive approach. The linear trend equation is F = 124 + 2.1t, and it was developed using data from periods 1 through 10. Based on data for periods 11 through 20 as shown in the table, which of these two methods has the greater accuracy if MAD and MSE are used? (Round your intermediate calculations and final answers to 2 decimal places.) Units Sold 11 144 12 146 13 152 142 15 152 16 149 17 152 18 154 19 157 20 164 Click here for the Excel Data File: MAD (Naive) MAD (Linear) MSE (Naive) MSE (Linear) 4 56 N 00 o o
Anita Limited has shared their annual sales revenue over the last 6 financial years from 2015 to 2020. Year Sales ($ 000) 2015 4500 2016 5100 2017 4900 2018 5400 2019 5670 2020 6000 You are required to; a) Using linear trend equation forecast the sales revenue of Anita Limited for 2021. Note: See the formula sheet on the next page. P.S.: I can't attach the formula sheet in this because it has variuos symbols, such as Sigma, log, x value etc. I uploaded the formula sheet and the question as well in the chat box. Please let me know if you need any more information.
2. The number of public branch libraries in the United States for several years is given in the table: Year Public Library Branches G500 1994 6223 1995 6172 1996 Branches 6205 1997 6332 1998 6435 a. Graph the data b. Find an equation for a model of these data. Year b. Using your model, estimate the number of branch libraries in 2000 c. Use the graph to estimate in what year(s) there are 6500 branch Libraries
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The number of banks in a country has been dropping steadily since 1984, and the trend in recent years has been roughly linear. The annual data for the years 1999 through 2008 can be summarized as follows, where x represents the years since 1990 and y the number of banks, in thousands. n=10 Ex-235 ²-5605 Ey-77.564 Ey²=603.80424 Exy-1810.155 a. Find an equation for the least squares line. b. Use your result from part a to predict the number of banks in the year 2020. c. If this trend continues linearly, in what year will the number of banks drop below 6200? d. Find and interpret the correlation coefficient.
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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.
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?
The rent for tenants in a building in 1940 was $30 per month. The landlord changes the rent based on the CPI-U. Use the CPI-U chart below to calculate the current rent in 2019. Round to the nearest dollar. Year CPI-U 1940 14.0 1949 23.8 1983 99.6 2000 172.2 2005 195.3 2009 214.5 2014 236.0 2017 245.1 2019 255.7 2020 258.8

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