3. Given the following hypothetical data for Gundam Auto Sales Inc. in 2010 (sales in million pesos),using the trend projection technique, forecast the January 2021 value.MonthY (Sales)X (Time)JanFeb6.51Mar4.5Apr7May4Jun8Jul5.5Aug7Sep108Oct9.5Nov9.7510Dec1211SUM92.7566

Given: X Y 0 5 1 6.5 2 4.5 6 7 4 6 5 8 6 5.5 7 9 8 10 9 9.5 10 9.75 11…

Answered: 3. Given the following hypothetical…

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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5. Management of a home appliance store wants tounderstand the growth pattern of the monthly sales of a new technology device over the past two years.The managers have recorded the relevant data inthe file P13_05.xlsx. Have the sales of this devicebeen growing linearly over the past 24 months? Byexamining the results of a linear trend line, explainwhy or why not.
The quarterly earnings of a large soft drink company have been recorded for the period 2014 - 2017. These data (in millions of rupees) are shown in the accompanying table. Year Quarter Sales Centered moving average 2014 1 52 2 67 3 85 62.03 4 54 63.38 2015 1 57 66.63 2 75 65.16 3 90 67.99 4 61 70.94 2016 1 60 70.55 2 77 73.61 3 94 71.57 4 63 72.84 2017 1 66 73.68 2 82 76.02 3 98 4 67 Find the seasonal index values using the moving averages. The trend line with de-seasonalised series was found as: Y = 62.09 + 1.14t where t is the quarter number ( t=1 for the first quarter 2014). Find the forecasted sales for the four quarters of year 2017.
In the area of Russia récords were kept on the relationship between the rain Fall in inches and the yield of wheat (bushels per acre ).the data for a 9 year period is as follow. Rain fall x 13.1,11.4,16.0,15.1,21.4,12.9,9.6,18.2,18.6. yield y : 48.5,44.2,56.8,80.4,47.2,29.9,74.0,74.0,76.8 the equation of the line of least squares is given as ^y= -9.12+4.38x. How many bushels of wheat peen acre can be predicted if it’s is expected that there will be 30 inches of rain?
The following time series shows the sales of supermarket chain over the last six months. Month Sales ($ 000) August 2021 250 Sep 2021 280 Oct 2021 295 Nov 2021 320 Dec 2021 380 Jan 2022 360 Develop a linear trend equation that can be used to forecast sales in Feb 2022. Forecast the sales in Feb 2021 using a three-period weighted moving average designed with the following weights: Nov 2021 weight 0.6, Dec 2021 weight 0.3 and Jan 2022 weight 0.1. Which method (A or B) is the best? Explain why.
(e) Test the hypothesis Ho : B1 = 10 versus H1 :ß, # 10 using a = 0.01. Ho and conclude the slope v 10 at a = 0.01. (d) Test the hypothesis Ho : Bo = 0 versus H1 : Bo + 0 using a = 0.01. Ho and conclude that the intercept be included in the model.
a. Obtain the linear trend equation for the following data on new checking accounts at Fair Savings Bank and use it to predict expected new checking accounts for periods 16 through 19. (Round your intermediate calculations and final answers to 2 deci places.) Period New Accounts Period, New Accounts Period New Accounts 1 2 3 4 Y Y16 Y17 Y18 Y19 200 214 211 220 235 6 7 8 9 10 237 248 250 258 267 11 12 13 14 15 281 275 287 288 316
Below are percentages for annual sales growth and net sales attributed to loyalty card usage at 74 Noodles & Company restaurants. Annual Sales Growth (px;) and Loyalty Card Usage (px; of Net Sales)(n = 74 restaurants) Store Growth% Loyalty% Store Growth% Loyalty% 1 -7.8 0.7 38 7.3 1.5 2 -6.9 2.5 39 7.4 1.7 3 -5.1 1.6 40 7.7 2.3 4 -4.7 1.4 41 8.0 2.0 5 -3.8 2.5 42 8.0 1.6 6 -1.7 1.5 43 8.3 1.9 7 -1.7 2.6 44 8.4 2.0 8 -1.6 2.4 45 8.6 2.2 9 -1.1 2.2 46 8.6 1.6 10 -1.0 1.9 47 8.7 0.9 11 0.4 1.2 48 8.9 1.7 12 0.6 0.5 49 9.4 1.6 13 0.6 2.1 50 9.5 1.3 14 1.0 1.3 51 9.5 2.1 15 1.3 2.0 52 10.5…
The following are the monthly figures of advertising expenditure and sales of a firm. It is generally found that advertising expenditure has its impact on sales after 2 months. Allowing for this time lag, calculate coefficient of correlation. Advertising Expenditure ('000) Sales Months Advertising Expenditure ('000) Months Sales 1,200 July Aug. Jan. 50 140 2,400 Feb. 60 1,500 160 2,600 March 70 1,600 Sep. 170 2,800 90 2,000 Oct. 190 2,900 April May 120 2,200 Nov. 200 3,100 June 150 2,500 Dec. 250 3,900
The below data represent the advertising expenditure and sales of Little Liu Ltd from year 2008 to 2017. Table: Advertising Expenditure vs. Sales from 2008 to 2017 Year Advert. Expenditure Sales (x, £000) (y, £000) 2008 8 30 2009 12 40 2010 11 29 2011 5 29 2012 14 43 2013 3 17 2014 6 20 2015 8 30 2016 4 22 2017 9 40 Total 80 300 Figure: Scatter Diagram of Advertising Expenditure and Sales with Trend line ( See picture) What is the statistical relationship shown in the Figure and list out 3 characteristics of this relationship? 2. Work out the values of parameters of the relationship shown in the Figure (i.e. work out the equation of the relationship). 3.Explain the relationship and make recommendations to Little Liu Ltd based on the information given.
If a trend line had the equation y=2.4x-0.15, what y-value would you expect to obtain when x has the following values? BUB 5: a. 2 a. When x = 2, y = (Type an integer or decimal rounded to the nearest hundredth as needed.) b. 0 b. When x = 0, y = (Type an integer or decimal rounded to the nearest hundredth as needed.). 2 c. 12 c. When x = 12, y = (Type an integer decimal rounded to the nearest hundredth as needed.) o F2 d. When x = 20.5, y = (Type an integer or decimal rounded to the nearest hundredth as needed.). W #3 d. 20.5 2 20 F3 E $ 4 F4 R 67 50 % 5 F5 T MacBook Air A 6 F6 Y & 7 F7 * U 00 Time Remaining. FB tv (

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3. Given the following hypothetical data for Gundam Auto Sales Inc. in 2010 (sales in million pesos), using the trend projection technique, forecast the January 2021 value. Month Y (Sales) X (Time) Jan Feb 6.5 1 Mar 4.5 2 Apr 7 3 May Jun Jul 5.5