12 QuestionIf the percentage rate of growth of time series data isstable, then time series has:1. Linear trend2. Parabolic trend3. Exponential trendПримечания 1.9hp

Given problem Given that If the percentage rate of growth of time series data is stable, then…

Answered: 12 Question If the percentage rate 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

See similar textbooks

Similar questions

Consider the following time series data. month 1 2 3 4 5 6 7 8 value |18|16 20 18 22 20 15 22 a. Develop the three-month moving average forecasts for this time series. Compute MSE and a forecast for month9. b. Using a=0.2 to compute the exponential smoothing forecasts for the time series. Compute MSE and a forecast for month9. c. Which method appears to provide the better forecast?
The number of tourists who visit a coastal town is shown in the graph below. Number of tourists 16 000 15 000 14 000 13 000 12 000 11 000 10 000 9 000 8 000 7 000 6 000 5 000 4 000 3 000 2 000 1 000 0 ..ll. 2017 2017 2017 2017 2018 2018 2018 2018 Summer Autumn Winter Spring Summer Autumn Winter Spring Seasons/years Deseasonalise the time series data to remove any seasonal fluctuations, and display the results in a table.
Consider the following data: Monthly Profit of a Gym Feb-12 Mar-12 Apr-12 May-12 Jun-12 Jul-12 Aug-12 Sep-12 6,090 Month Jan-12 Profit ($) 6,500 6.253 5,514 5,357 5,425 6,278 8,119 6,390 Step 3 of 5: Determine the exponentially smoothed forecast for the next time period using a smoothing constant, a, of 0.35. If necessary, round your answer to one decimal place.
Consider the following data: Month Jan-14 Feb-14 Profit ($) 16,113 16,263 Monthly Profit of an Auto Repair Shop Mar-14 Apr-14 May-14 Jun-14 Jul-14 Aug-14 Sep-14 15,055 17,117 18,763 17,210 19,141 18,468 20,254 Step 3 of 4: Determine the exponential smoothing forecast for the next time period using a smoothing constant of 0.35. If necessary, round your answer to one decimal place.
Hudson Marine provides boats sales, service, and maintenance. Boat trailers are one of its top sales items. Suppose the quarterly sales values for the seven years of historical data are as follows. Do not round intermediate calculations. a. Compute the centered moving average values (first find Four-Quarter Moving Average) for this time series (to 3 decimals). Centered Moving Average t 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 Sales 5 17 8 6 9 16 16 7 14 24 22 12 18 26 26 20 24 33 28 23 22 36 29 18 28 42 33 28 9.625 Year 1 2 3 4 5 6 7 Quarter 1 5 9 14 18 24 22 28 Quarter 2 17 16 24 26 33 36 42 Quarter 3 B 16 22 26 28 29 33 Quarter 4 6 7 12 20 23 18 28 Total Yearly Sales 36 48 72 90 108 105 131
The values of Alabama building contracts (in millions of dollars) for a 12-month period follow. (a) Construct a time series plot. 400 350 300 250 200+ O 1 2 3 4 Month 5 6 What type of pattern exists in the data? 7 240 340 220 260 280 310 8 9 150- 100 The data appear to follow a seasonal pattern. The data appear to follow a cyclical pattern. The data appear to follow a trend pattern. O The data appear to follow a horizontal pattern. 10 50 0 11 12 01 2 400 350 300 250 200- 150 100 50 0 0 1 2 3 4 5 34 5 6 7 8 9 10 11 12 13 Month Time Series Value (in $ millions) 240 340 (b) Compare the three-month moving average forecast with the exponential smoothing forecast using a = 0.2. (Round your answers to two decimal places.) 220 260 280 310 210 320 250 6 320 7 Month 230 220 210 320 250 320 230 220 de 8 9 10 11 12 13 r 3-Month Moving Average Forecast (in $ millions) 400 350+ 300 250 200+ 150- 100+ 50+ 0 01010101000 400 T 350 300 0 1 2 3 4 250+ 200+ 150+ 100+ α = 0.2 Forecast (in $ millions) 50…
Editor of Astrology Magazine wants to obtain sales forecast value for 2021. Use the given data below and help the editor. Year Quarter Sales 2019 1. 53 2. 51 3. 48 4. 55 2020 1. 53 2. 51 3. 54 4. 52 Use time series regression model and determine sales forecast value for the second quarter of 2021
The quarterly sales data (number of copies sold) for Moraga Bookstore over the past three years follow. Year Quarter 1 Quarter 2 Quarter 3 Quarter 4 1 16 25 22 15 2 19 31 25 18 3 21 33 27 17 Construct a time-series plot. What type of pattern(s) exists in the data? Compute the seasonal index for the four quarters. ]Compute the linear trend equation for the deseasonalized data.
Consider the following time series.t 1 2 3 4 5 6 7 Yt 120 110 100 96 94 92 88a. What type of pattern exists in the data?HorizontalSeasonal with upward trendDownward trendUpward trendSeasonal with downward trendb. Regression analysis yields the following forecast equation: 119.71 - 4.929t; what is the forecast for period 8? Round to the nearest hundredth.c. Regression analysis yields the following forecast equation: 119.71 - 4.929t; what is the MSE for this forecast method? Round to the nearest hundredth.
QUESTION 1 Your rate of return expectations for the stock of Gidimadjor Company during the next year are Possible Rate of Return (kk) Possible Rate of Return Probability (Gidimadjor Itd) -0.60 0.56 0.15 -0.30 0.36 0.10 -0.10 -0.08 0.05 0.20 0.02 0.40 0.40 0.33 0.20 0.80 0.51 0.10 a. Compute the expected return [E(Ri)] on this stock, the variance (02) of this return, and its d. Compute the coefficients of variation (CVs) for KK Itd and Gidimadjor and discuss which stock return series has the greater relative dispersion.
Q. 14 Explain the Graphic method of trend estimation in a time series and give its merits and demerits.
QUESTION Samuel is a butchery vendor at a local open market. His daily income and the number of hours worked for the first ten days after the lockdown period is shown below: Day Income (N$) Number of hours 1 800 6 2 900 8 3 600 4 4 1200 5 5 1400 9 6 2000 9 7 1400 8 8 900 6 9 1300 7 10 1400 8 REQUIRED TO; determine whether it is the data time series or cross sectional? Motivate the reason. Calculate and interpret the following descriptive measures for the random variable Income: Mean Median Mode 33rd percentile Interquartile range 3. Calculate and interpret the covariance between the random variables Income and Number of hours worked. 4. Calculate and interpret the correlation coefficient between the random…

SEE MORE QUESTIONS

Recommended textbooks for you

MATLAB: An Introduction with Applications

Statistics

ISBN:

9781119256830

Author:

Amos Gilat

Publisher:

John Wiley & Sons Inc

Probability and Statistics for Engineering and th…

Statistics

ISBN:

9781305251809

Author:

Jay L. Devore

Publisher:

Cengage Learning

Statistics for The Behavioral Sciences (MindTap C…

Statistics

ISBN:

9781305504912

Author:

Frederick J Gravetter, Larry B. Wallnau

Publisher:

Cengage Learning

MATLAB: An Introduction with Applications

Statistics

ISBN:

9781119256830

Author:

Amos Gilat

Publisher:

John Wiley & Sons Inc

Probability and Statistics for Engineering and th…

Statistics

ISBN:

9781305251809

Author:

Jay L. Devore

Publisher:

Cengage Learning

Statistics for The Behavioral Sciences (MindTap C…

Statistics

ISBN:

9781305504912

Author:

Frederick J Gravetter, Larry B. Wallnau

Publisher:

Cengage Learning

Elementary Statistics: Picturing the World (7th E…

Statistics

ISBN:

9780134683416

Author:

Ron Larson, Betsy Farber

Publisher:

PEARSON

The Basic Practice of Statistics

Statistics

ISBN:

9781319042578

Author:

David S. Moore, William I. Notz, Michael A. Fligner

Publisher:

W. H. Freeman

Introduction to the Practice of Statistics

Statistics

ISBN:

9781319013387

Author:

David S. Moore, George P. McCabe, Bruce A. Craig

Publisher:

W. H. Freeman

SEE MORE TEXTBOOKS

12 Question If the percentage rate of growth of time series data is stable, then time series has: 1. Linear trend 2. Parabolic trend 3. Exponential trend