(b) Using an exponential smoothing technique with alpha = 0.2,(i) the forecast for Month 7 is(ii) the forecasting error for Month 4 is(iii) the mean absolute deviation is(to 2 d.p.) Given the following information:Month 1234560Demand 27 3034353942(a) Using the two-month weighted moving average with weights assigned to the oldest inorder 0.2 and 0.8,(i) the forecast for Month 7 is41.4(ii) the forecasting error for Month 5 is4.2(iii) the mean absolute deviation is3.6

Given information:Month123456Demand273034353942 Required:(Part a) Use 2-month weighted moving…

Answered: (b) Using an exponential smoothing…

College Algebra (MindTap Course List)

12th Edition

ISBN:9781305652231

Author:R. David Gustafson, Jeff Hughes

Publisher:R. David Gustafson, Jeff Hughes

Chapter4: Polynomial And Rational Functions

Section4.6: Rational Functions

Problem 11SC: Find the mean hourly cost when the cell phone described above is used for 240 minutes.

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Planetary Velocity The following table gives the mean velocity of planets in their orbits versus their mean distance from the sun. Note that 1AU astronomical unit is the mean distance from Earth to the sun, abut 93 million miles. Planet d=distance AU v=velocity km/sec Mercury 0.39 47.4 Venus 0.72 35.0 Earth 1.00 29.8 Mars 1.52 24.1 Jupiter 5.20 13.1 Saturn 9.58 9.7 Uranus 19.20 6.8 Neptune 30.05 5.4 Astronomers tell us that it is reasonable to model these data with a power function. a Use power regression to express velocity as a power function of distance from the sun. b Plot the data along with the regression equation. c An asteroid orbits at a mean distance of 3AU from the sun. According to the power model you found in part a, what is the mean orbital velocity of the asteroid?
(15) 8. For the data below: a) Compute a three-month moving average for all appropriate months (Hint: some months cannot be computed). Actual 3-Month Automobile Tire Sales Moving Average Absolute Month Deviation Tire Sales January February 80.00 74.00 March 60.00 April May 50.00 52.00 June 58.00
Year 2005-06 2006-07 2007-08 2008-09 2009-10 2010-11 Total FTES 1585 1690 1735 1935 2021 1890 Calculate the mean, median, standard deviation, the first quartile, the third quartile and the IQR. Round to one decimal place. What additional information is needed to construct a box plot for the FTES for 2005-2006 through 2010-2011 and a box plot for the FTES for 1976-1977 through 2004-2005? Compare the IQR for the FTES for 1976–77 through 2004–2005 with the IQR for the FTES for 2005-2006 through 2010–2011. Why do you suppose the IQRs are so different?
Consider the following data:Monthly Profit of a Gym: Month & Profit: Jan-12: 5700 Feb-12: 5453 March-12: 5034 April-12: 4717 May-12: 5185 June-12: 5638 July-12: 6519 Aug-12: 6182 Sept-12: 5913 What are the MAD, MSE and MAPE scores for the three-period weighted moving average forecast? Round any intermediate calculations, if necessary, to no less than six decimal places, and round your final answer to one decimal place. MAD: MSE: MAPE as %: link to excel sheet for forumla to assist: http://www.livebinders.com/play/play?id=2368073
Number 103 part A,B, and C
10 of 11 DNA markers of known lengths were separated on an agarose gel and visualised. The figure below is the standard plot of measurements made from a digital image of this gel. A line of best fit has been determined (illustrated with a dotted line) and the equation used to describe this trendline is shown. 3.5 3. 2.5 y = -0.003x+ 3.7876 R = 0.9964 1.5 0.5 of size marker in base pair s 2.
Number 102 part A, B, and C
A queueing system has an arrival rate of 37 visitors per day (standard deviation of 32) and a service rate of 42 visitors per day (standard deviation of 25). (Round your answer to three decimal places.) What is the coefficient of variation of the arrival rate?
2. (2) Consider the wage equation In(wage) A+B EDUC + B,EDUC² +B,EXPER+B,EXPER+B,(EDUC EXPER)+e where the explanatory variables are years of education (EDUC) and years of experience (EXPER). Estimation results for this equation, and for modified versions of it obtained by dropping some of the variables, are displayed in Table 6.10 (see Table6 10.pdf in Canvas). These results are from 200 observations in the file cps5 small. Use a 5% level of significance for all tests. a) Use an F-test and the results in Eqn (A) and Eqn (B) to test H,:B.=0. b) Use an -test and the results in Eqn (A) to test H: B-0. Show that r-F obtained in part a). e) Use an F-test and the results in Eqn (A) and Eqn (C) to test H: B, = B, = B, -=0. d) Use an F-test and the results in Eqn (B) and Eqn (D) to test H,: B, = B, =0. e) Use an F-test and the results in Eqn (A) and Eqn (E) to test H:B, = B, =0.
Fig. 38 Illustration 116. The income of a group of 10,000 persons was found to be normally distributed with Mean Rs. 50. Show that of this Rs. 750 p.m. and Standard deviation group about 95% had income exceeding Rs. 668 and only 5% had income exceeding Rs. 832. What was the lowest income among the richest 100 ?
(a) Compute MSE using the most recent value as the forecast for the next period. What is the forecast for month 8? The MSE, mean squared error, is a measure of forecast accuracy and is the average of the squared forecast errors. Before this can be found, we first need to find the forecast values, forecast error, and squared forecast errors. Forecasts will be made using the most recent values known. There will be no forecast for the first month. The forecast value for month 2 will be the observed value from month 1, so the forecast value for month 2 is The forecast value for month 3 will be the observed value from month This pattern will continue for the rest of the months. 2, so the forecast value for month 3 is Complete the column for the forecast value in the table below. Month Value Forecast Value 1 18 2 26 3 22 4 27 5 23 9 22 22 7 27 27 Find the forecast for month 8 using this pattern. Type here to search L W ☑ 3 8 200m 3:36 PM 72°F 5/9/2024 10
In Table L-1, the total value of imports of Indonesian goods and services from China for the 2010-2019 period is reported on a quarterly basis. With this data you are asked to analyze it with the Trend model and Seasonal Index. Question: a. Calculate a moving average with the average period length of 4 or MA (4) [why four?] And put the results in a column. Beware of selecting the rows to place the average result. b. Calculate the moving average with the length of the average period is 2 from the data in column MA (4) and the result is given the symbol MA (2x4) and the result is placed in a column. Beware of selecting the rows to place the average result. c. Calculate the ratio to the Moving Average (Y / MA (2x4)) and place it in a new column! d. Calculate a seasonal index and interpret the results! e. Create a Deseasonalized data series and place it in a new column! f. Plot the Dessasonalized data series and read the long-term movement patterns of data! Remember that understanding of…

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