Consider the following time series.t 1Yt6210.(m)(a) Choose the correct time series plot.(0)16.1412105.864161412348 13105.86515- Select your answer -What type of pattern exists in the data?Select your answer-(11)(c) What is the forecast for t- 67If required, round your answer to one decimal place.(iv)16141210864216.141210822(b) Use simple linear regression analysis to find the parameters for the line that minimizes MSE for this time series.If required, round your answers to two decimal places.y-intercept, bo-Slope, bi-MSE-

We get the data in excel(a)To plot the graph we select the data, we go toInsert tab -> charts…

Answered: (a) Choose the correct time series…

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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Table 1. Violent victimization, by type of crime, 2016, and 2017 Appendix table 3. Standard errors for table 1: Violent victimization, by type of crime, 2016, and 2017 From the estimation of the number of Rape/sexual assault (298,410) in 2016 at 95% CI, what is the lower limit? (Round off to one decimal place if necessary)
Attached.
Q.2. What is the use of differencing in a time series? Also, explain the importance of stationarity.
Q. 14 Explain the Graphic method of trend estimation in a time series and give its merits and demerits.
An economist wants to compare the economic growth rate (%) within 50 kilometers and 100 kilometers to cities in a country. He collected 6 cities of the country, and calculated the growth rates with 50km and 100km as shown in the following table. Choose an appropriate test to validate that regions within 100km have higher economic growth rate than the regions within 50km to cities. You can make certain assumptions, but need to write to indicate your assumption. Show calculations by hand.
Consider the following time series data. Month 1 2 3 21 10 17 9 Value 4 What is the forecast for month 8? 12 5 6 7 16 20 12 (a) Compute MSE using the most recent value as the forecast for the next period. MSE = 60.5 (b) Compute MSE using the average of all the data available as the forecast for the next period. (Round your answer to two decimal places.) MSE = 29.96 X What is the forecast for month 8? (c) Which method appears to provide the better forecast? O The average of all the previous values provides a better forecast, because its forecast for month 8 is larger than the month 8 forecast using the most recent value. The most recent value provides a better forecast, because its forecast for month 8 is smaller than the month 8 forecast using the average of all the previous values. The most recent value provides a better forecast, because its MSE is smaller than the MSE using the average of all the previous values. The average of all the previous values provides a better forecast,…
b. Use a = 0.2 to compute the exponential smoothing forecasts for the time series (to 2 decimals). Time-Series Value Month Forecast 1 110 2 130 120 4 110 5 95 6. 125 7 140 8 140 9 105 10 80 11 100 12 110 13
#8 Using the data below and the Naïve forecast, what is the error calculation for the 3rd week? Week 1 2 32 4 Time Series Value 11.00 5.00 25.00 Submit 16.00 Answer format: Number: Round to: 0 decimal places.
The following linear trend expression was estimated using a time series with 17 time periods. Tt = 129.2 + 3.8t. What is the trend projection for time period 18 ?
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11:15 (a) Determine and interpret the quartiles. The first quartile is Q₁ = 0. (Round to four decimal places as needed.) K The accompanying data represent the monthly rate of return of a certain company's common stock for the past few years. Complete parts (a) and (b) below. Click the icon to view the data table. The second quartile is Q₂ =. (Round to four decimal places as needed.) The third quartile is Q3 = (Round to four decimal places as needed.) Interpret the quartiles. Choose the correct answer below. LTE 2.1 4G O A. The first quartile is the lower bound of plausible monthly returns, and the third quartile is the upper bound of plausible monthly returns. Any monthly returns outside of these bounds are outliers. The second quartile represents the most common monthly return. OB. Of the monthly returns, 25% are less than or equal to the first quartile, 50% are less than or equal to the second quartile, and 75% are less than or equal to the third quartile. 53% OC. The first quartile…
analyze This figure plots the changes in Vietnam’s TB during the period January 2010 – December 2019

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