Consider the following time series data.Week13Value161416111714(a) Choose the correct time series plot.(i)2018161412108.4(b) Develop a three-week moving average for this time series. Compute MSE and a forecast for week 7.Do not round intermediate calculations. If required, round your answers to two decimal places.Week ValueForecast16141641115.671714MSE:The forecast for week 7:Time Series Value c) Use a = 0.2 to compute the exponential smoothing values for the time series. Compute MSE and a forecast for week 7.Do not round intermediate calculations. If required, round your answers to two decimal places.Week ValueForecast162.1416115.176.14MSE:The forecast for week 7:(d) Compare the three-week moving average forecast with the exponential smoothing forecast using a = 0.2. Which appears to provide thebetter forecast based on MSE?- Select your answer -Explain.Using this approach results in aMSE.Select your answer(e) Use trial and error to find a value of the exponential smoothing coefficient a that yields the minimum MSE. Do not round intermediatecalculations. Use a two-decimal digit precision for the exponential smoothing coefficient.alpha:

Given data according to weeks We have to calculate forcast by moving average method and exponential…

Answered: Consider the following 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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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…
Find the Median for the following data series. Class Interval Frequency 0-10 28 10-20 36 20-30 20 30-40 28 40-50
Month 1 2 3 4 5 6 7 Value 24 13 20 12 19 23 15 Using the most recent value as the forecast for the next month, compute the following measures of forecast accuracy: a) Mean Absolute Error (MAE) b) Mean Squared Error (MSE) c) Mean Absolute Percentage Error (MAPE) d) What is the forecast for Month 8?
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
a. Obtain the linear trend equation for the following data on new checking accounts at Fair Savings Bank and use it to predict expected new checking accounts for periods 16 through 19. (Round your intermediate calculations and final answers to 2 deci places.) Period New Accounts Period, New Accounts Period New Accounts 1 2 3 4 Y Y16 Y17 Y18 Y19 200 214 211 220 235 6 7 8 9 10 237 248 250 258 267 11 12 13 14 15 281 275 287 288 316
QUESTION 4 The Stem-and-Leaf Plot below displays the total number of world shark attacks from 1990 to 2006. Stem 3 345 672 622103 Leaf 66 2499 167 112358 09 12 Calculate the median. O O a.57 Ob.62c.59 Od. 49.
L1Q6.
3. Using data in question 6, determine whether there is enough evidence to conclude that the type II has higher strength than type I? Use a pooled t-test with a = 0.05. 1. Identify the parameters 2. Null Hypothesis 3. Alternative Hypothesis 4. Test Statistic 5. Rejection Region 6. Conclusion
Question in 1st image. Refer to data in 2nd image.

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Consider the following time series data. Week 1 2 3 4 6. Value 16 14 16 11 17 14 (a) Choose the correct time series plot. (i) 20 18 16 14 12 10 Series Value