Below is a table containing data on product demand for the most recent three months along with theforecasts that had been made for those three previous months. Calculate the MSE.Month Demand Forecast130831038839034434223

MSE stands for mean squared error which is used to estimate how close a regression line to a set of…

Answered: Below is a table containing data on…

ENGR.ECONOMIC ANALYSIS

14th Edition

ISBN:9780190931919

Author:NEWNAN

Publisher:NEWNAN

Chapter1: Making Economics Decisions

Section: Chapter Questions

Problem 1QTC

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Define Forecasts and forecast errors in time series anaylsis?
The table below is extracted from Goodland Republic Bureau of Statistics records for 2016 -2017. Use the information to answer the questions that follow. Goodland Economy 2017 and 2018 Item Price 2017 Price 2018 Production Price per unit Production Price per unit Rice (000tons) 50000 1.5 55000 2 Wheat (000 tons) 100000 2 98000 2.5 Tractor mid size( units ) 50000 23000 45000 24500 Cotton (000 tons) 120000 100 110000 120 Used Cars (00) 5000 5000 6000 7000 Manufacture Garments (000 tons) 150000 50 145000 70 Eggs (000 trays) 2000 2.5 2300 3.5 Coca cola (000litres) 6000 0.8 6500 1.2 Pepsi cola (000 litres) 700 1.1 850 1.5 Beef (000 tons) 5000 6.5 4800 8.5 Second hand clothes (000 tons) 500 15 450 25 Alcoholic Beverages (000 litres) 500 3.25 600 3.75 Milk (000) 7000 2.3 7500 2.5 Examine the status of the economic welfare in Goodland Republic in 2018 based on your GDP deflator, nominal GDP and Real GDP. Also, explain the reasons why it is necessary to…
The Wall Street Journal’s website, www.wsj.com, reported the number of cars and light-duty trucks sold through October of 2014 and October of 2015. The top sixteen manufacturers are listed here. The sales information for all manufacturers can be accessed in a data file below. Sales data are often reported in this way to compare current sales to last year’s sales. Year-to-Date Sales Manufacturer Through October 2015 Through October 2014 General Motors Corp. 2,562,840 2,434,707 Ford Motor Company 2,178,587 2,065,612 Toyota Motor Sales USA Inc. 2,071,446 1,975,368 Chrysler 1,814,268 1,687,313 American Honda Motor Co Inc. 1,320,217 1,281,777 Nissan North America Inc. 1,238,535 1,166,389 Hyundai Motor America 638,195 607,539 Kia Motors America Inc. 526,024 489,711 Subaru of America Inc. 480,331 418,497 Volkswagen of America Inc. 294,602 301,187 Mercedes-Benz 301,915 281,728 BMW of North America Inc.…
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How Forecasts is compared with predicted values? why these both terms are different?
In your company (electrical goods manufacturing), you want to forecast demand as well of a particular range of Smart TVs. Its monthly sales previous year, are presented in the table below: Month Sales January 400 February 650 March 1,150 April 1,700 May 500 June 900 July 1,150 August 1900 September 600 October 650 November 1,600 December 2050 Based on the above historical sales data: A) Create the corresponding graph and comment on the demand (sales) in terms of in trend, seasonality and periodicity please draw the diagram!!!!
The table below is extracted from HappylandRepublic, Bureau of Statistics records for 2019-2020. Use the information in this table to answer the questions that follow. Items Base year 2019 2020 Production Price Production Price Used cloth (units) 4,000 50.00 5,000 60.00 Components used tractor factory production (units) 8,000 500.00 11,000 1,200.00 Cloth (units) 8,000 25.00 12,000 30.00 Beef gifts during cultural festival (Kg) 1,500 2.00 1,700 3.00 Milk (litres) 5,000 1.30 7,000 2.50 Computers (Units) 2,000 500.00 2,500 600.00 Printers (Units) 500 300.00 400 355.00 Raw materials for car assembling plant (Units) 4,500 250.00 4,450 300.00 1. Calculate HappylandRepublic’s nominal GDP, real GDP in 2020. Also, calculate the GDP deflator if 2019 is used as the base year. 2. Double counting must be avoided when measuring GDP. State and examine…
8
Q1: KSU Products has just carried out a survey of the demand for their guidebooks to spoken Arabic. They have found the following results over the last six months. Sales revenue 356 398 372 360 365 350 Price ($) 4.5 4.0 4.2 4.5 4.3 4.8 a. Estimate an appropriate demand relationship; Q=apb b. Make a forecast of sales revenue for a price of $5, stating any assumptions. c. Éstimate the price elasticity of demand for the data as a whole. d. If price is raised 10 per cent in general terms, what will happen to revenue?

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Below is a table containing data on product demand for the most recent three months along with the Forecasts that had been made for those three previous months. Calculate the MSE. Month Demand Forecast 1 308 310 388 390 344 342