Following is the data of production of T.V. sets in "000" units of a companyYear1980 1981 1982 1983 1984 1985 1986 1987. 1988Production3107.9.141218(000 units)i) Fit a linear trend to these fisures and then estimate the production for theyear 1990ii) Find trend values and show trend line on historigram2.

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Answered: Following is the data of production of…

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 table given below indicates New Holding Ltd.’s quarterly profits in 2019 and 2020.Time Period Profit (Thousands Of Rands)2019 Q1 2502019 Q2 2102019 Q3 1652019 Q4 1952020 Q1 2652020 Q2 2182020 Q3 1782020 Q4 204 Determine the trend regression function for this data set. Given that the typical seasonal index for Q3 is 87.3, use this informationand the trend regression function obtained to determine theseasonally adjusted trend estimate for profits in Q3 of 2022.
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.
The MAD for the forecast developed using a weighted 2-year moving average with weights of 0.350.35 and 0.650.65 is what?
How many tails are involved in the determination of the critical z value in the marketing research problem?
hudson Marine has been an authorized dealer for c&d marine radios for the past sevenyears. the following table reports the number of radios sold each year.Year 1 2 3 4 5 6 7Number Sold 35 50 75 90 105 110 130a. construct a time series plot. does a linear trend appear to be present?b. Using Minitab or excel, develop a linear trend equation for this time series.c. Use the linear trend equation developed in part (b) to develop a forecast for annualsales in year 8.
The Credit Risk Department of a major bank estimates the default rate on loans under $10,000 to be 4%. The bank will make 2400 loans that are under $10,000 next month. Find the mean of ^p, where ^p is the proportion of defaults on the 2400 loans under $10,000 to be made next month.
A study is made of the relationship between annual production volume of Good A and factory floor area. Table below shows the data from a sample of 10 factories. Factory Factory floor area, X (‘000m2 ) Annual production volume, Y ($‘ 000) 1 40 3.5 2 600 25.0 3 60 4.8 4 72 3.5 5 400 30.0 6 90 5.0 7 200 12.0 8 70 4.5 9 80 5.0 10 84 6.0 Construct a scatter plot.
The accompanying dataset provides data on the monthly usage of natural gas (in millions of cubic feet) for a certain region over two years. Implement the Holt-Winters multiplicative seasonality model with no trend to find the forecast for periods 13-26, where alphaαequals=0.50.5 and gammaγequals=0.80.8. Then find the MAD for periods 13-24. Month Period Gas Usage Jan 1 242 Feb 2 227 Mar 3 153 Apr 4 144 May 5 55 Jun 6 34 Jul 7 29 Aug 8 27 Sep 9 28 Oct 10 40 Nov 11 88 Dec 12 203 Jan 13 231 Feb 14 248 Mar 15 251 Apr 16 139 May 17 35 Jun 18 32 Jul 19 28 Aug 20 26 Sep 21 27 Oct 22 38 Nov 23 86 Dec 24 182 Use the Holt-Winters multiplicative seasonality model with no trend to find the forecast for periods 13-18, periods 19-24, and then for periods 25 and 26. (Type integers or decimals rounded to two decimal places as needed.) Period Forecast 13 14 15 16 17 18
Assume that the averages of all factors other than educ have remained constant over time and that the average level of education is 12.2 for the 1972 sample and 13.3 in the 1984 sample.Using the estimates in Table 13.1, find the estimated change in average fertility between 1972 and 1984. (Be sure to account for the intercept change and the change in average education.)
The following table shows predicted product demand using your particular forecasting method along with the actual demand that occurred: FORECAST ACTUAL 1,515 1,585 1,415 1,515 1,715 1,615 1,755 1,680 1,805 1,730 Compute the tracking signal using the mean absolute deviation and running sum of forecast errors.
The Normal distribution curve to the right displays the distribution of grades given to managers based on management performance at Ford. Of the large population of Ford managers, 10% were given A grades, 80% were given B grades, and 10% were given C grades. A’s were given to those who scored 380 or higher and C’s were given to those who scored 160 or lower. Suppose the company adds grades D and F so there are 5 categories to grade performance. If they want to give A’s only to those in the top 3%, what performance score must a manager exceed to get an A?
The table given below indicates Small Holding Ltd.’s quarterly profits in 2019 and 2020.Time Period Profit (Thousands Of Rands)2019 Q1 2502019 Q2 2102019 Q3 1652019 Q4 1952020 Q1 2652020 Q2 2182020 Q3 1782020 Q4 204Q.6.3.1 Determine the trend regression function for this data set. In order to obtain full marks for this question, you must complete the relevanttable (template provided below) and then apply the appropriate timeseries formulae in the formulae sheet.Q.6.3.2 Given that the typical seasonal index for Q3 is 87.3, use this informationand the trend regression function obtained in Q.6.3.1 to determine theseasonally adjusted trend estimate for profits in Q3 of 2022.

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