Consider the following time series.1245Yt710101416(a) Choose the correct time series plot.(i)(ii)161614141212101066442214123.4(iii)(iv)1616141412121010644213.5345Plot (i)What type of pattern exists in the data?Positive trend pattern (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 =(c) What is the forecast for t = 6?If required, round your answer to one decimal place.

Excel Procedure: Enter t and yt in Excel>Data>Data Analysis> ‘Regression’>Select yt…

Answered: Consider the following time series. 1 3…

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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Consider the following time series data. Week 1 3 Value 16 14 16 11 17 14 (a) Choose the correct time series plot. (i) 20 18 16 14 12 10 8. 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 Value Forecast 16 14 16 4 11 15.67 17 14 MSE: The forecast for week 7: Time Series Value
Question 1: Find the trend for the time series using moving average method. Forecast Week 4 Wednesday Week Absence due to sickness Monday Tuesday Wednesday Thursday Friday 7 8 11 18 3 8 10 13 21 6. 13 17 28 2. 3,
5
Question #5 (three parts) Here are the recent annual salaries (in millions of dollars) for players on the N.Y. Knicks professional basketball team: 23.4 22.5 11.5 7.1 6.0 4.1 3.3 2.8 2.6 1.7 1.6 1.3 0.9 0.9 0.6 Convert the highest salary to a z score.
Example 18.1 Suppose we are given a time series data for 12 years–1989 to 2000 relating to sales of a certain business firm. These data are given below: Year Sales (Million Rs) Year Sales (Million Rs) 1989 10 1995 15 1990 15 1996 24 1991 20 1997 15 1992 25 1998 21 1993 15 1999 15 1994 12 2000 24 We are asked to find out the three-year moving averages, starting from 1989.
Centerville Bikes and Stuff (CBS) sells motorcycles and accessories. The number of helmets sold by CBS per week for the past six weeks follows. Week 1 2 3 4 5 6 Value 17 12 14 10 16 13 (a) Construct a time series plot. A graph has a horizontal axis labeled "Week" with values from 0 to 7 and a vertical axis labeled "Time Series Value" with values from 0 to 20. The time series plot contains a series of 6 points connected by line segments. The segments and the approximate points they connect are as follows. The segments start at (1, 17), go down and right to (2, 12), go up and right to (3, 14), go down and right to (4, 10), go up and right to (5, 16), and go down and right to stop at (6, 13). A graph has a horizontal axis labeled "Week" with values from 0 to 7 and a vertical axis labeled "Time Series Value" with values from 0 to 20. The time series plot contains a series of 6 points connected by line segments. The segments and the approximate points they connect…
Respond to each of the items using the following time series data. Period Demand 1 104 2 132 3 117 4 120 5 104 6 141 7 120 8 136 9 109 10 143 11 142 12 109 13 113 14 124 15 113 16 107
QUESTION 8 Series A 300 250 200 150 100 50 1 2 3 4 5 6 7 8 9 10 11 12 13 Which forecasting method would be most appropriate for time series A? a. Winter's b. Holt's c. SARIMA
Consider the following time series data: Month 1 2 3 4 5 6 7 Value 24 12 20 11 19 24 16 (a) Compute MSE using the most recent value as the forecast for the next period. If required, round your answer to one decimal place. What is the forecast for month 8? If required, round your answer to one decimal place. Do not round intermediate calculation. (b) Compute MSE using the average of all the data available as the forecast for the next period. If required, round your answer to one decimal place. Do not round intermediate calculation. What is the forecast for month 8? If required, round your answer to one decimal place. (c) Which method appears to provide the better forecast? All Data average or Naiive
The following table shows a company's annual revenue (in billions of dollars) for 2009 to 2014. Year Period (t) Revenue ($ billions) 2009 23.6 2010 29.3 2011 37.9 2012 4 50.2 2013 59.9 2014 6 66.7 (a) Construct a time series plot. 80- 80 80 80 70 70 70 70 60 60 60 60 50 50 50 50 40 40 40 40 30 30- 30 30 20- 20 20 20 10 10 10- 10 1 2 3 4 5 6 7 0- 1 2 3 4 5 7 1 3 4 5 6 7 1 3 4 5 6 7 Period Period Period Period What type of pattern exists in the data? O The time series plot shows a downward linear trend. O The time series plot shows an upward linear trend. O The time series plot shows an upward curvilinear trend. O The time series plot shows a downward curvilinear trend. (b) Develop a linear trend equation for this time series to forecast revenue (in billions of dollars). (Round your numerical values to three decimal places.) T. = -18323.211 +9.131lt (c) What is the average revenue increase per year (in billions of dollars) that this company has been realizing? (Round your answer to three…
Consider the following time series data: Month 1 2 3 4 5 6 7 Value 25 13 19 11 19 23 16 (a) Compute MSE using the most recent value as the forecast for the next period. If required, round your answer to one decimal place. (b) Compute MSE using the average of all the data available as the forecast for the next period. If required, round your answer to one decimal place. Do not round intermediate calculation. What is the forecast for month 8? If required, round your answer to one decimal place.
Question 6: which of the following intervals on average weight loss over a month (in lbs) for a new diet is a 90% interval and which is a 99% interval? (8,10) (6,11)

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Consider the following time series. 1 3 4 5 7 10 10 14 16 (a) Choose the correct time series plot. (i) (ii) 16 16 14 14 12 12