Aug6570.2Sep6875.1Oct6979.2Nov7080.1Dec7581.2The management decided to use the exponential smoothing to determine the projected monthly demand for 2021 and bothmanagers agreed to assign the alpha of 0.15 in the model. So how much is the monthly demand from January through Decemberfor this year? Apple Corporation is planning to produce their new product called the next generation low cost iPhone the said product willcompete the product lines of Samsung, the management is hoping that it will further increase their revenue starting 2nd Quarter of2021Below is the historical data of actual sales and forecast of iPhone last 2020:Forecast Sales in Million Actual sales in MillionMonthUnitsUnitsJan5155.3Feb5254.1Mar5362.3Apr5561.1May5758.6June6059.2July6267.3Aug6570.2

Answered: Image /qna-images/answer/b82c262f-73c3-4880-a1f4-d01137d1ddc9.jpg

Answered: The management decided to use the…

Marketing

20th Edition

ISBN:9780357033791

Author:Pride, William M

Publisher:Pride, William M

Chapter6: Target Markets: Segmentation And Evaluation

Section: Chapter Questions

Problem 17DRQ: Under what conditions might a firm use multiple forecasting methods?

See similar textbooks

Similar questions

Apple Corporation is planning to produce their new product called the next generation low cost iPhone the said product will compete the product lines of Samsung, the management is hoping that it will further increase their revenue starting 2nd Quarter of 2018. Below is the historical data of actual sales and forecast of iPhone last 2017: Forecast Sales in Million Actual sales in Million Month Units Units Jan 51 55.3 Feb 52 54.1 Mar 53 62.3 Apr 55 61.1 May 57 58.6 June 60 59.2 July 62 67.3 Aug 65 70.2 Sep 68 75.1 Oct 69 79.2 Nov 70 80.1 Dec 75 81.2 Solve the following questions: According to operations manager the bottleneck process is tester with weekly capacity of 120,500 units and it has machine inventory of 85 testers, how many additional testers are needed to support the startup of the new product? Per feedback from accounting department the fixed cost for investing the new product is 4,500,000andvariablecostof0.75 per unit and selling price of $5 per unit, how much quantity is…
Calculate a regression line for the data and indicate the forecast of sales for a store with advertising spending of R240,000? and R300,000? Store Advertising Sales 1 14 6 2 11 3 3 15 5 4 16 5 5 24 15 6 28 18 7 22 17 8 21 12 9 26 15 10 43 20 11 34 14 12 9 5
Make a 15-year simple linear regression forecast. Example: Railroad Products Co. RPC Sales Car Loadings Year ($millions) (millions) 1 9.5 120 2 11.0 135 3 12.0 130 4 12.5 150 5 14.0 170 6 16.0 190 7 18.0 220
q10- What is the best description of Granger-causality? Select one: a. the ability of lags of one variable to contribute to the forecast of another variable b. the ability of a variable to predict its own future c. the ability of the one variable to explain it own past d. None of the above Clear my choice
Q5) Monthly sales for a six month period are as follows: Month SalesJan 18,000Feb 22,000Mar 16,000Apr 18,000May 20,000June 24,000 Compute the sales forecast for July using the following approaches: (1) Four-month moving average; (2) Weighted three-month moving average using .50 for June, .30 for May and .20 for April;(3) Exponential smoothing with α (smoothing constant) equal to .40, assuming a February forecast of 18,000
STAT 382 (page 3 of 10)-Google Chrome arn.squ.edu.om/mod/quiz/attempt.php?attempt D17403728icmid 8666708page-2 E-LEARNING SYSTEM (ACADEMIC) me Series forecasting for Business || Spring21 Time left 0:30:09 stion The predicted monthly sales for a company over the first six months of 2010 are 360, 385, 275, 300, 312, and 307. Find the standard deviation. put of O A. 33.74 O B. 41.04 O C. 40.72 O D. 41.72 IOUS PAGE NEXT PAGE
Use the trend line to forecast the demand of Apple iPad for Dec 2020.Give your opinion regarding the reliability of the forecast.
Regression and Utility Rates; Sustainability For several years, many utilities haveemployed regression analysis to forecast monthly utility usage by residential customers usingweather forecasts, the number of holidays, the number of days in the month, and other factors.For example, the Connecticut Department of Public Utility Control (CDPUC) has determinedthat regression, properly used, can accurately predict natural gas usage. Most public gas utilities serving Connecticut have reported levels of accuracy from 4% to 10% using regression.One company, Dominion Natural Gas Company of Ohio, uses this approach not to forecast, butto explain to customers why their natural gas bills have gone up or down compared to the priormonth and to the same month of the prior year. The bill shows total MCF (thousand cubic feetof natural gas) used by the customer for that month and why the total MCF usage has changed,based on three factors:1. Change in temperature. Each degree increase in temperature…
Here are the data for the past 21 months for actual sales of a particular product: LAST YEAR THIS YEAR January 315 February 418 March 390 April 430 May 400 [ June 480 July 430 August 320 September 385 October 530 November 592 555 December 300 400 350 460 390 395 355 245 340 Develop a forecast for the fourth quarter using a three-quarter, weighted moving average. Weight the most recent quarter 0.50, the second most recent 0.25, and the third 0.25. Do the problem using quarters, as opposed to forecasting separate months. (Round your answer to 2 decimal places.) Forecast for the fourth quarter
PLEASE HELP with correct answers A statistical program is recommended. The quarterly sales data (number of copies sold) for a college textbook over the past three years follow. Quarter Year 1 Year 2 Year 3 1 1,690 1,800 1,850 2 940 900 1,100 3 2,625 2,900 2,930 4 2,500 2,360 2,615
a) Using the trend-projection (regression) method, develop a forecastfor the sales of Volkswagen Beetles in Nevada through year 6.b) What is the MAD?~c) What is the MSE?
The following data are the last three years of quarterly sales ($ thousands) for AmeriWeld. They are looking to forecast their sales for the upcoming year, 2021. Quarter t Sales $ thousands (y) 2018 Q1 1 15 Q2 2 14 Q3 3 13 Q4 4 37 2019 Q1 5 54 Q2 6 34 Q3 7 67 Q4 8 73 2020 Q1 9 77 Q2 10 62 Q3 11 94 Q4 12 101 a. Determine the regression equation. (Round to 2 decimal places.) Regression equation: ŷ = ______ + ______ t b. Determine the specific index for each quarter. (Indexes should be in decimal form (e.g. 1.36 not 136). Rounded to 2 decimal places.) Quarter Quarterly Index Q1 Q2 Q3 Q4 c. What are the estimated sales (forecast) for the next four quarters? (Values in $thousands. Round to 2 decimal places.) Quarter Forecasted Sales 2021-1 2021-2 2021-3 2021-3

SEE MORE QUESTIONS

Recommended textbooks for you

Marketing

ISBN:

9780357033791

Author:

Pride, William M

Publisher:

South Western Educational Publishing

Marketing

ISBN:

9780357033791

Author:

Pride, William M

Publisher:

South Western Educational Publishing

SEE MORE TEXTBOOKS

The management decided to use the exponential smoothing to determine the projected monthly demand for 2021 and both managers agreed to assign the alpha of 0.15 in the model. So how much is the monthly demand from January through Decembe for this vear?