Problem 18-28 (Algo)The following are historical demand data:ACTUALDEMAND206135373583474275694952YEAR SEASON2011 SpringSummerFallWinter2012 SpringSummerFallWinterUse regression analysis on deseasonalized demand to forecast demand in summer 2013. (Round your answer to the nearest wholenumber.)Forecast for summer 2013

YearSeasonActual Demand2011Spring204Summer150Fall374Winter5722012Spring474Summer274Fall675Winter964

Answered: The following are historical demand…

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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If actual period demand varies from the forecast by more than 3MAD, this indicates: there is 3% chance that the forecast is wrong. there is a 98% chance that the forecast is wrong. there is a 97% chance that the forecast is wrong. there is a 3% chance that the forecast is correct Moving to the next question prevents changes to this answer:
Month Actual demand Forecasted Demand 1 950 1000 2 1070 1000 3 1100 1000 4 960 1000 5 1090 1000 6 1050 1000 For the dataset above, compute the overall MAPE.
The values of Alabama building contracts (in millions of dollars) for a 12-month period follow. 250 340 240 260 290 330 210 310 250 310 240 230 Compare a three-month moving average forecast with an exponential smoothing forecast. Use = 0.2. Which provides the better forecasts based on MSE? Do not round your intermediate calculations and round your final answers to two decimal places. Movingaverage Exponentialsmoothing MSE fill in the blank 3 fill in the blank 4 What is the forecast for the next month? Round your answer to the nearest whole number.fill in the blank 6 millions of dollars
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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
This is an MCQ kindly answer with proper explanation
. Determine whether a linear or an exponential function is the better fit for the data in the table. Then findthe equation of the function with three-decimal-placeaccuracy
ENERGY (KILOWATT-HOURS) 600 500 400 300 200 400 420 370 0 JAN FEB MAR APR MAY 320 310 330 MONTH -380- JUN JUL AUG SEP 400 420 NOV 580 DEC The line graph shows the monthly consumption of energy in kilowatt-hours for a house during a one-year period. Find the total amount of energy consumed during the year.
Practice q#5 chap 2 The weekly sales of Honolulu Red Oranges is given by q = 216 – p^2. Calculate the price elasticity of demand when the price is $ 8 per orange. Is it elastic or inelastic? %3D
Please answer part C

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