Quarterly sales of PnP (in hundred million Rands) from 2000 to 2004 are given in the table belovQ1Q2Q3Q42000692001112002101210200313101510200414161514What is the centred four period moving average for 2002_Q2 (round off to two decimals).А. 10.38В. 10.62O C. 7.13D. 10.13

The moving average method is an improvement over semi-average method a short term fluctuation are…

Answered: Quarterly sales of PnP (in hundred…

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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Just answer the number 7 and 8 in 4 decimaal
12) The following results are an autoregression for US Exports to Mexico where the dependent variable is the lagged value of US Exports. a) Fill in the table b)Based on these regression results, what is your forecast of US Exports to Mexico for March 2005? c) Which of the two forecasts do you think is more accurate? Explain.
The following table gives data for the velocity of a sports car accelerating from 0 to 193 miles per hour over the course of 36 seconds (10 thousandths of an hour).
The following table shows the daily receipts in millions of dollars of the movie "Avatar" for successive Fridays after its opening on Friday 18 December 2009.Estimate the instantaneous rate of change of daily receipts 20 weeks after the opening day. Round to four decimal places.
Quarterly sales of PnP (in hundred million Rands) from 2000 to 2004 are given in the table below. Q1 Q2 5 2000 2001 2002 2003 2004 B. 7.67 6 OC. 6.33 OD. 12.67 10 13 14 6 8 9 10 16 Q3 8 9 12 15 15 Q4 9 11 10 10 What is the three period moving average for 2002_Q2 (round off to two decimals). OA. 10.33 14
Here's a table with average monthly price of a stock from Jan 2021-July 2021. Month Price Jan 29000 Feb 27000 Mar 31000 Apr 30000 May 32000 June 28000 July 29000 Using a 3-period weighted moving average with weights (wt, wt-1, W-2) = (0.6, 0.2, 0.2), the predicted price August is Using an exponential smoothing model with = 0.4, and with the initial predicted price for Jan the same as the observed price for January, the predicted price for August is % Now, let's suppose that we finally observe that the price for August is 30000. The absolute percent error (APE) of your prediction for August is using the weighted moving average method and % using the exponential smoothing model. (Note: Round your answer to the nearest 2 decimal places. For your APE answer for example let's say you get 0.06786 from Excel, then you should type-in 6.79 as your answer here since it is represented as percentage. Do not enter any symbols other than integers and decimal.)
29
Average temperature in Winter and Summer in a region for 2016-2019 is given below. Year Winter Summer 2016 20 45 2017 35 44 2018 28 43 2019 29 48 Assume the additive time series model with no trend and using the above data, answer the following questions. 1. Compute two period moving averages MA(2). 2. What is the advantage of computing MA(2). 3. Do you need to compute CMA. Why or why not. 4. Estimate the seasonal factors for Winter and summer. 5. Forecast the average temperature for Fall and Spring 2020 assuming CL=2 and IR=0
Don’t solve in excel please . q.5

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