MonthSales1105213531204105590612071458140910010801110012110Use ? = 0.2 to compute the exponential smoothing forecasts for the time series. (Round your answers to two decimal places.)

To compute the exponential smoothing forecasts, we will use the formula: Ft+1 = α*At + (1-α) * Ft…

Answered: Month Sales 1 105 2 135 3 120 4…

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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b. Use a = 0.2 to compute the exponential smoothing forecasts for the time series (to 2 decimals). Time-Series Value Month Forecast 1 110 2 130 120 4 110 5 95 6. 125 7 140 8 140 9 105 10 80 11 100 12 110 13
> Question Completion Status: The following is a Time Series of Two Years (2019-2020) Seasons Year Sales 4-periods MA Q1 177 Q2 299.28 2019 Q3 304.45 307.81 315.79 318 2020 Q4 Calculate the Actual Sales Year 2020-Q₁ ? Q4 Q1 Q2 Q3 ?
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
the table shows the percent of households with internet access for selected years from 2009 and projected through 2015. Year Percent of households 2009 67 2010 70 2011 72.5 2012 75 2013 76.5 2014 77.2 2015 78 Use the model to predict the percent of households with internet access in 2022.
PART A The following table shows quarterly sales (in thousand units) for a product over 4 years. The overall sales average for the entire 4 years is 156.5625 (thousand units). Fill in the missing values assuming there is no trend. Round seasonal indexes to 4 decimal places. Report Averages accurate to at most 2 decimal places. Report Actual sales ('000) accurate to the nearest integer. Year 1 Year 2 Year 3 Year 4 Average Seasonal Index Quarter 1 86 93 95 0.6004 Quarter 2 205 207 198 1.2838 Quarter 3 154 159 153 175 160.2 1.023 Quarter 4 184 167 158 175 171 1.092 PART B Suppose actual quarterly sales (in thousands) for Year 5 are 82, 196, 178, and 180 respectively. Assuming there is no trend, forecast sales for the four quarters of Year 5. Use seasonal indexes (rounded to 4 decimal places) from Part A. Report forecast answers as integers accurate to the nearest thousand. Quarter 1 forecast = thousand Quarter 2 forecast= thousand Quarter 3 forecast= thousand Quarter 4 forecast= thousand…
The following data represent a portion of quarterly net sales (in $ millions) of Lowe's Companies, Inc., over five years. Net Sales 8861 10169 1 9984 Source: All data retrieved from Annual Reports for Lowe's Companies, Inc. Click here for the Excel Data File a-1. Estimate an exponential trend model with seasonal dummy variables. (Round your answers to 4 decimal places.) Year 2004 2004 2008 Intercept d1 d2 d3 t Variable Quarter 1 2 1 1 Se Exponential Trend A 1 Year 2 2004 3 2004 4 2004 5 2004 6 2005 7 2005 8 2005 9 2005 10 2006 11 2006 12 2006 13 2006 14 2007 15 2007 16 17 2007 2007 2008 18 19 2008 2008 20 21 2008 B Quarter 123-AWNA W NAWN-AW23 4 4 3 4 4 4 C Net Sales 8861 10169 9064 8550 9913 11929 10592 10808 11921 13389 11211 10406 12172 14167 11565 10379 12009 14509 11728 9984
Can I please get some help. Thank you!
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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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 ? = 0.2 to compute the exponential smoothing forecasts for the time series. (Round your answers to two decimal places.)