(c) Use a = 0.2 to compute the exponential smoothing forecasts for the time series. (Round your answers to two decimal places.)Time SeriesMonthForecastValue126215322414521625717Compute MSE. (Round your answer to two decimal places.)MSE =What is the forecast for month 8? (Round your answer to two decimal places.)(d) Compare the three-month moving average approach with the exponential smoothing approach using a = 0.2. Which appears to provide more accurate forecasts based on MSE?O The exponential smoothing using a = 0.2 provides a better forecast since it has a larger MSE than the three-month moving average.O The three-month moving average providesbetter forecast since it has a smaller MSE than the exponential smoothing using a = 0.2.O The three-month moving average provides a better forecast since it has a larger MSE than the exponential smoothing using a = 0.2.O The exponential smoothing using a = 0.2 provides a better forecast since it has a smaller MSE than the three-month moving average. Consider the following time series data.Month1234567Value 26 152214212517(a) Construct a time series plot.3030т30 T30252525252020202015-15151510-10-10+10-5+5-55-0-0 1 2 3 4 5 6 70 1 2 3 4 5 6 70 14 5 6 7 84 5 6 78.8.23MonthMonthMonthMonthWhat type of pattern exists in the data?O The data appear to follow a cyclical pattern.O The data appear to follow a trend pattern.O The data appear to follow a seasonal pattern.O The data appear to follow a horizontal pattern.(b) Develop the three-month moving average forecasts for this time series.Time SeriesMonthForecastValue12615221421625717Compute MSE. (Round your answer to two decimal places.)MSE =What is the forecast for month 8?

Note: As per BNED guidelines, we are answering first three subparts. If any doubt, kindly resubmit…

Answered: Consider the following time series…

Math

Statistics

Consider the following time series data. Month 1 2 3 4 5 6 Value 26 15 22 14 21 25 17

MATLAB: An Introduction with Applications

6th Edition

ISBN:9781119256830

Author:Amos Gilat

Publisher:Amos Gilat

Chapter1: Starting With Matlab

Section: Chapter Questions

Problem 1P

See similar textbooks

Similar questions

Please help!
Provided here is a dataset from a class. This data was collected from an 8-10am course that met every Tuesday and Thursday. Answer all of the following questions. Give your answers in sentences and/or copy/paste your Excel graphs/commands when used. 2019 Data Gender Age Height (in) Shoe Size Miles Home to school Classes this Semester M 20 77 15 3 4 F 45 63 11 8 3 F 20 62 8.5 22 4 F 19 68 9 7.5 4 M 19 70 9.5 6.5 4 F 18 63 6.5 6.5 5 F 21 62 5.5 2 4 F 19 65 7 7 4 F 18 64 8.5 5.5 5 F 19 60 7 15 3 F 21 60 6.5 5 1 M 19 72 11 15 5 M 42 68.75 11 5 1 M 18 74 11.5 2.5 4 F 18 62 6.5 7.5 4 F 19 60 7.5 3 5 F 20 59 4.5 3.5 5 M 20 78 14 87 5 M 19 72.5 12 0.5 4 M 21 66 8.5 5 4 M 19 76 12 45 5 M 19 71 12 22 5 M 19 69 11 4.5 4 F 19 65 7 2 4 F 25 66 8 1 2 M 19 68 10 5 4 M 19 72 11.5 82 4 F 18 64 8.5 21 4 F 23 70 9.5 4 3 D) Find the mean and standard deviation of the heights of this sample of students. E) The Empirical Rule…
Develop a frequency distribution for the variable "Yearly Salary." Start with your Bin with 40,000 and increment it by 15,000 up to 130,000
Following shows the numbers of Amazon Prime members in the millions, each quarter from 2016 to 2021. Quarter 2016 2017 2018 2019 2020 2021 1 26 36 48 62 81 98 2 27 37 50 65 83 103 3 29 40 53 69 86 109 4 33 44 57 74 93 117 Construct a line chart using the data. Describe the relationship between the time and number of subscribers.
Please answer 2, 4, 5 and 6
the data set shows the high school student grade . it have their mid and final test results. we wish to determine if there is a relationship between the two. 1 77 65 2 83 90 3 79 67 4 88 85 5 76 62 6 66 80 7 76 74 8 95 93 9 65 59 10 91 86 11 80 52 12 87 82 13 86 54 14 62 71 15 92 86 16 76 88 17 68 82 18 92 95 19 80 77 20 59 72 21 68 84 22 71 75 23 62 73 24 67 55 25 76 94 26 72 79 27 99 89 28 57 52 29 81 78 30 72 83 31 76 69 32 94 98 33 71 94 34 71 81 35 71 83 36 95 96 37 73 60 38 88 85 39 94 97 40 84 88 41 59 71 42 67 92 43 97 85 44 84 87 45 87 99 46 92 98 47 77 91 48 84 93 49 92 79 50 75 81 51 95 99 52 80 73 53 62 79 54 70 76 55 87 91 56 88 95 what is the equiation for the linear regression model? Final grade= ___ + ___ * Mid term grade (round to three decimal places) If cammy scores 73 on the midterm, her predicted final exam grade would be _______
I need some help with the following problems on excel.
Which of the following is the most appropriate type of chart for determining the number of observations at or below a specific value? Select one: a. A histogram. b. A pie chart. c. A time-series chart. d. A cumulative frequency ogive.
Building Year of sale 1 2005 1 2005 2 2007 2007 2004 2007 2007 2008 2008 2008 ID Property # Area (ft.) Price 1030 11 Apartment 30 743.09 $ 246,172.68 1029 10 Apartment 29 756.21 $ 246,331.90 2002 7 Apartment 2 587.28 $ 209,280.91 2031 12 Apartment 31 1604.75 $ 452,667.01 1049 11 Apartment 49 1375.45 $ 467,083.31 3011 9 Apartment 11 675.19 $ 203,491.85 3026 9 Apartment 670.89 $ 212,520.83 3023 1 Apartment 720.81 $ 198,591.85 1031 6 Apartment $ 265,467.68 782.25 794.52 4023 3 Apartment $ 235,633.26 Customer Entity Name Surname Interval Gender Country State ID C0028 Individual Madalyn Mercer 19 18-25 F USA California Home C0027 Individual Lara Carrillo 22 18-25 F USA California Home C0112 Individual Donavan Flowers 22 18-25 M USA California Home C0160 Individual Darien Dorsey 22 18-25 M USA California Investment C0014 Individual Alessandra Perry 25 18-25 F USA California Home C0125 Individual Kaitlin Owen 26 26-35 F USA Virginia Investment C0125 Individual Kaitlin Owen 26 26-35 F USA…
The following is historical sales data ABC Clothing Inc: Month Sales (units) 5-Month Moving Avg. Jan-19 Feb-19 Mar-19 Apr-19 May-19 Jun-19 Jul-19 Aug-19 Sep - 19 Oct-19 Nov - 19 Dec-19 Jan-20 Feb-20 Mar-20 Apr-20 May-20 10 15 20 20 25 20 20 25 30 35 40 50 70 85 100 125 P a) Complete the chart by calculating the 5-month moving average and make a forecast for May 2020. b) Do you think the forecasted value for May-20 using the 5-month moving average is accurate? What are some other methods that you could have used to make a forecast?
Calculate the 3 yearly and 5 yearly moving averages for the following time series : 1988 1989 1990 1991 | 1992| 1993 1994 | 1995 | 1996 1997 1998 Year : Prodn. (in quintals) : 500 540 550 | 530 520 560 600 640 620 610 640
Question in 1st image. Refer to data in 2nd image.