MAT 240 Project One

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the following data represents a set do demands that have occurred over the last several years at a soap making company.  The data were collected on an annual basis. Year Actual Demand (At) Forecast (Ft) 1 310   2 365   3 395   4 415   5 450   6 465   7     a) using the SIMPLE AVERAGE method to predict the demand for the 7th year b) the SIMPLE MOVING AVERAGE method to predict the demand for the 7th year

The problem is based on the following data given. Observations of the demand for a certain part stocked at a parts supply depot during the calendar year 2013 were ( as shown ). Determine the one-step-ahead forecasts for the demand for January 2014 using 3‑, 6-, and 12-month moving averages.

Question 9 Regression analysis was applied between demand for a product (Y) and the price of the product (X), and the following estimated regression equation was obtained. Y = 120 - 15 X Based on the above estimated regression equation, if price is increased by 2 units, then demand is expected to: O Increase by 120 units Decease by 30 units O Increase by 2Q units Next « Previous Submi No new data to save. Last checked at 9:51pm

Options are: 520, 510, 454, 596, 346

Economics

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.…

I Consider the demand for trading cards listed below. Month Demand Jan. 51,000 48,000 Feb. March 55,000 April May 58,000 66,000 June 69,000 80,000 July Aug. 95,000 Use Excel to prepare a forecast for September, October, and November using linear regression Print out the sheet of results, as well as a sheet containing the formulas that you used ( can be used to toggle between displaying values and displaying formulas or you can click on Formulas>Formula Auditing→Show Formulas.) and for the cars is 16.000

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!!!!

7 Suppose the following model describes the relationship between annual salary (salary) and the number of previous years of labor market experience (exper): log(salary) = 10.6 + .027 exper. (i) What is salary when exper = 0? When exper = 5? (Hint: You will need to exponentiate.) (ii) Use equation (A.28) to approximate the percentage increase in salary when exper increases by five years. (iii) Use the results of part (i) to compute the exact percentage difference in salary when exper = 5 and еxper = 0. Comment on how this compares with the approximation in part (ii).

Subject: Manegerial Economics & Policy The maker of a leading brand of low-calorie microwavable food estimated the following demand equation for its product using data from 26 supermarkets around the country for the month of April: Q = -5,200 - 42P + 20PX + 5.2l + 0.20A + 0.25M (2.002) (17.5) (6.2) (2.5) (0.09) (0.21) R2 = 0.55 n = 26 F = 4.88 Assume the following values for the independent variables: Q = Quantity sold per month P (in cents) = Price of the product = 500 PX (in cents) = Price of leading competitor’s product = 600 I (in dollars) = Per capita income of the standard metropolitan statistical area (SMSA) in which the supermarket is located = 5,500 A (in dollars) = Monthly advertising expenditure = 10,000 M = Number of microwave ovens sold in the SMSA in which the supermarket is located = 5,000  Using this information, answer the following questions: (remaining parts) Do you think that this firm should cut its price to increase its market share/revenue? Explain. What…

Student question Time Left: 00:09:02 Food manufacturers in the small island nation of Autarka have complained that the cost of cardboard, used to produce the packaging for their products, is too high. The food manufacturers claim that the price of cardboard in Autarka is much higher than in other countries. They allege that cardboard manufacturers are colluding to raise the price in Autarka. There are three firms that manufacture cardboard in Autarka: Arthur's Accoutrements, Boris' Boxes, and Carl 's Cartons. These firms contend that the relatively high prices in Autarka are due both to the small size of the market and to the fact that cardboard is too expensive to import by air or sea. Cardboard is a homogeneous good produced to industry standard specifications. The annual demand for cardboard in Autarka is given by the function, Q = 10,000,000 1,000,000P, where Q is the quantity demanded of cardboard for a given year, measured in square metres, and P is the price per square metre.…

DQ1:  Electric Vehicles and Battery Supply Chain As the automotive industry shifts toward electric vehicles (EVs), there is growing attention on the supply chain for batteries, a crucial component. Explore the relationship between supply and demand in the context of electric vehicles: How has the growing demand for electric vehicles impacted the demand for battery components? How have companies like Tesla and other automakers responded to this increased demand? Discuss the concept of supply constraints in the battery industry. How do factors like access to raw materials, technological advancements, and production capacity influence the supply of batteries for electric vehicles?   DQ2:  Think about a product or service that has undergone a dramatic increase in popularity in recent years, such as electric vehicles (EVs) or streaming services. Discuss how changes in consumer preferences and technological advancements have influenced the demand for this product or service. How have…

Sonia is planning to start a new designer cloth shop. Her problem is to decide how large her shop should be. The annual returns will depend on both the size of her shop and a number of marketing factors related to the current market conditions and demand for designer wear. After a careful analysis, Sonia came up with the following table: Size of shop good market (R.O) fair market (R.O) poor market (R.O) Samll scale 1024 9765 -500 Medium scale  1500 3000 -2000 Large scale  2000 3000 -4000 Very large scale  3000 5000 -7000 a)what will be her decision based on Pessimist criteria? b) what will be her decision based on Optimistic criteria? c) what will be her decision based on Laplace criteria?

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 23

Ypsilanti Market Research conducted a survey to find out whether people who earn more money purchase more expensive goods. The following graph indicates the relationship between income the survey subjects earned and the price of the home that they purchased. PRICE (Thousands of dollars per home) 500 450 400 350 300 250 200 150 100 50 L 0 10 20 30 40 50 60 70 80 INCOME (Thousands of dollars per year) 90 100

The monthly demand of a company is showed below, please use the static method to forecast the demand for Year 6. Sales Year 1 Year 2 Year 3 Year 4 Year 5 JAN 2,000 3,000 2,000 5,000 5,000 FEB 3,000 4,000 5,000 4,000 2,000 MAR 3,000 3,000 5,000 4,000 3,000 APR 3,000 5,000 3,000 2,000 2,000 MAY 4,000 5,000 4,000 5,000 7,000 JUN 6,000 8,000 6,000 7,000 6,000 JUL 7,000 3,000 7,000 10,000 8,000 AUG 6,000 8,000 10,000 14,000 10,000 SEP 10,000 12,000 15,000 16,000 20,000 OCT 12,000 12,000 15,000 16,000 20,000 NOV 14,000 16,000 18,000 20,000 22,000 DEC 8,000 10,000 8,000 12,000 8,000 Total 78,000 89,000 98,000 115,000 113,000

Demand Factor Average American household income Roundtrip airfare from Des Moines (DSM) to Atlantic City (ACY) Room rate at the Continental Hotel and Casino, which is near the Rivers PRICE (Dollars per room) Use the graph input tool to help you answer the following questions. You will not be graded on any changes you make to this graph. Note: Once you enter a value in a white field, the graph and any corresponding amounts in each grey field will change accordingly. 500 450 400 350 300 250 200 150 100 50 0 0 Demand 50 100 150 200 250 300 350 400 450 500 QUANTITY (Hotel rooms) Graph Input Tool Market for Rivers's Hotel Rooms Price (Dollars per room) Quantity Demanded (Hotel rooms per night) Demand Factors Average Income (Thousands of dollars) Initial Value $50,000 per year $200 per roundtrip $250 per night Airfare from DSM to ACY (Dollars per roundtrip) Room Rate at Continental (Dollars per night) 350 150 50 200 250 ?

Gg.40.

A random sample of 100 households has been selected in order to establish a price index for housing utilities. The following average annual figures have been obtained. Housing Utilities 2017 Electricity 1,97 Gas 7,90 0,29 2,40 Telephone Water Price(Rand/Unit) 2018 2,05 8,25 0,30 2,45 2019 2,09 8,60 0,31 2,50 2017 62 9 296 55 Quantities 2018 64 9 297 56 2019 68 10 298 58 . a) Find the price relative for Electricity, using (2017= 100). Interpret. b) Find the quantity relative for Water, using (2018= 100). Interpret. c) Calculate the Laspeyre's price index for 2019, using 2017 = 100. What is the percentage increase in 2019 price over those in 2017? Interpret. d) Calculate the Paasche's price index for 2018, using 2017 = 100. What is the percentage increase in 2018 price over those in 2017? Interpret. e) By how much has this households utility in these four utilities changed between 2017 and 2019? Assume price are held constant at base year 2017.

Hello! Can someone please help me discuss the topic Consumer Price Index? I need to discuss its definition, formula, and sample computation/ problem. Can you please help me? I do not have any knowledge about the topic, since it is my first time hearing about it. Thank you! Your efforts are very much appreciated!

5. Exercise 5.5 A firm experienced the demand shown in the following table. Fill in the table by preparing forecasts based on a five-year moving average, a three-year moving average, and exponential smoothing (w = 0.9 forecasts may be begun by assuming Y t+ F Yt •) and w = 0.3 ). (Note: The exponential smoothing Moving Average Actual Demand (5-year) (3-year) Exponential Smoothing (W = 0.9) Year (W = 0.3) 2000 900 2001 885 900 900 2002 875 2003 870 887 ▼ 2004 870 877 ▼ 2005 875 880 872 Y 2006 885 875 872 2007 900 875 877 2008 920 880 887 - 2009 945 890 902 Y 2010 905 922 The following table shows the square errors, (Y; - T1-) , for forecasts from 2005 through 2009. Fill the table by calculating the root mean square error (RMSE) for each of the methods. Square Error Exponential Smoothing Moving Average Year (5-year) (3-year) (W = 0.9) (W = 0.3) 2005 25 9 25 25 2006 100 169 100 36 2007 625 529 256 361 2008 1,600 1,089 484 1,089 2009 3,025 1,849 729 2,304 RMSE Based on the RMSE criterion,…

A printer manufacturer estimates that the average purchaser of a printer will also purchase six ink refills over the lifetime of the printer. The relevant data are: Printer: price: $400, margin: $100 Refills: price: $40, margin: $30 The manufacturer is considering increasing the price of printers by 10% to $440. What volume decrease in the sales of printers is the stay-even sales change for the firm? (Ignore the issue of discounting the value of future ink refill sales. Imagine, for example, that all six are purchased upfront with the printer). A. 11.5% B. 12.5% C. 13.5% D. 14.5% Use = % Q = (Pold - Cold)/(Pnew - Cold) - 1

Solve using Excel

10 00 Interest Rate (%) N B Investment Demand 0 $30 60 90 120 150 Investment ($) Price Level Multiple Choice AS Real GDP ($) AD₁ (1=120) AD₂ (1=90) *AD3 (1=60) Refer to the graphs, in which the numbers in parentheses near the AD₁, AD2, and AD3 labels indicate the level of investment spending associated with each curve. All numbers are in billions of dollars. The interest rate and the level of investment spending in the economy are at point D on the investment demand curve. To achieve the long-run goal of a noninflationary, full-employment output Qfin the economy, the Fed should try to decrease aggregate demand by increasing the interest rate from 2 to 4 percent. decrease aggregate demand by increasing the interest rate from 4 to 6 percent. increase aggregate demand by decreasing the interest rate from 4 to 2 percent. increase the level of investment spending from $120 billion to $150 billion.

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Case Studies Economic Development Planner You have just been hired as an economic development planner working for a businesswoman who builds large shopping stores and malls in cities. The company wants to build a regional shopping center in a nearby city that is surrounded by a large rural population. To help them conduct a feasibility study, please address the following questions. 1. What type of population-related decisions should be made to determine the best location for the shopping center? For example, is there a demand for new retail stores? 2. What type of population and related information would you need to collect to help determine the best location for the center? 3. What types of analysis would you perform with the information?

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5. Among important factors that affecting the price of land lot are size, number of mature trees and distance to the lake. Using data for 60 recently sold land lots are shown below: B 1 SUMMARY OUTPUT 2 3. Regression Statistics 4 Multiple R 5 R Square 6 Adjusted R Square 7 Standard Error 0.4924 0.2425 0.2019 40.24 8 Observations 60 9. 10 ANOVA Significance F 5.97 11 df S MS 9676.6 0.0013 12 Regression 13 Residual 3 29,030 90,694 56 1619.5 14 Total 59 119,724 15 16 Coefficients Standard Error t Stat P-value 0.0331 0.2156 17 Intercept 51.39 23.52 2.19 18 Lot size 0.700 0.559 1.25 19 Trees 0.679 0.229 2.96 0.0045 20 Distance -0.378 0.195 -1.94 0.0577 a) Write the regression equation b) What is the standard error of estimate? Interpret its value. c) What is the coefficient of determination? Interpret its value. d) What is the adjusted coefficient of determination? Interpret its value. e) Test the validity of the model. f) Interpret each of the coefficients. g) Test at 5% level of…