Consider the following data:**Monthly Profit of an Auto Repair Shop**| Month | Jan-14 | Feb-14 | Mar-14 | Apr-14 | May-14 | Jun-14 | Jul-14 | Aug-14 | Sep-14 ||--------|--------|--------|--------|--------|--------|--------|--------|--------|--------|| Profit ($) | 15,507 | 15,657 | 14,455 | 16,511 | 18,163 | 17,150 | 19,147 | 18,402 | 20,182 |**Step 1 of 4**: Determine the three-period moving average for the next time period. If necessary, round your answer to one decimal place.**Answer**[Blank for student input]

Moving Average:The m-point moving average is obtained by averaging first m consecutive values. A…

Answered: Consider the following data: Month…

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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The following is the variation in fuel prices (per gallon) in Oman for the last 7 months. Determine the trend of fuel prices by using the method of simple semi-average. January February March April Мay June July OMR 1.0 OMR 1.25 OMR 1.50 OMR 1.05 OMR 1.05 OMR 1.20 OMR 1.20 O a. 1.20 and 1.0 O b. 1.25 and 1.15 O c. 1.05 and 1.0 O d. 1.0 and 1.25
Using the method of simple averages find the seasonal indices for the following data : Month Jan. Feb. Mar. Apr. May June July Aug. Sept. Oct. Nov. Dec. Year 1996 15 16 18 18 23 23 20 28 29 33 33 38 1997 23 22 28 27 31 28 22 28 32 37 34 44 1998 25 25 35 36 36 30 30 34 38 47 41 53
Fit a straight line trend bý the method of least squares to the following data and calculate trend valuęs : Year 1976 1977 1978 1979 1980 : Sales of T.V. Sets (in thousands) : 4 6. 7 8 10 Estimate the sales for the year 1985.
Monday Tuesday Wednesday Thursday Friday Week 1 55 40 33 20 70 Week 2 60 48 50 36 63 Week 3 58 44 38 50 72 Week 4 80 40 40 30 64 Instructions: The table above, which shows income (in thousands of dollars) from sales of a particular product over a four week period. Determine the seasonal variation each of the week Hence calculate the average seasonal variation for each day of the week Plot the graph of the original data and then add the trend line obtained using the moving averages Comment briefly on the trend observed on the graph and calculate the sales figure that is likely to be achieved for the next Monday using the trend line
The following is the data of the production of corona vaccine (Pfizer) for last few months. Using the moving average of 5 months determine the trend of production of corona vaccine. Month February March April Мay June July Production (units) 400 600 500 600 700 600 O a. 560 and 600 O b. 450 and 550 O C. 500 and 600 O d. 500 and 560
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.
answer quickly
Which of the following belongs to lagging indicators A. Manufacturers' new orders B. Stock prices, 500 common stocks C. Average duration of unemployment D. Industrial production
Part 2 of 2 Construct an ogive for the data. Cumulative Frequency 20 15 10 5 0 69.5 0 109.5 0 College Faculty 149.5 0 189.5 Number of faculty 0 229.5 0 269.5 0 309.5 X ←
Amex PLC has gathered following information on the sales of face mask from April 2020 to September 2020. Month Sales ($) April 17,000 May 18,000 June 19,500 July 22,000 August 21,000 September 23,000 You are required to; a. Using linear trend equation forecast the sales of face masks for October 2020. b. Calculate the forecasted sales difference if you use 3-period weighted moving average designed with the following weights: July 0.2, August 0.3 and September 0.5.
Q. 4.
Mlustration 12. From the following data compute the 3-yearly and 5-yearly moving averages and: Year : 1 3 4 7 8 9. 10 11 Values : 25 30 34 37 39 40 40 39 37 34 30

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