Average temperature in Winter and Summer in a region for 2016-2019 is given belo Year Winter Summer 2016 20 45 2017 35 44 2018 28 43 2019 29 48 Assume the additive time series model with no trend and using the above data, answ following questions. 1. Compute two period moving averages MA(2). 2. What is the advantage of computing MA(2). 3. Do you need to compute CMA. Why or why not. 4. Estimate the seasonal factors for Winter and summer.

Linear Algebra: A Modern Introduction
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Section4.6: Applications And The Perron-frobenius Theorem
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Average temperature in Winter and Summer in a region for 2016-2019 is given below.
Year Winter Summer
2016
20
45
2017
35
44
2018
28
43
2019
29
48
Assume the additive time series model with no trend and using the above data, answer the
following questions.
1. Compute two period moving averages MA(2).
2. What is the advantage of computing MA(2).
3. Do you need to compute CMA. Why or why not.
4. Estimate the seasonal factors for Winter and summer.
5. Forecast the average temperature for Fall and Spring 2020 assuming CL=2 and
IR=0
Transcribed Image Text:Average temperature in Winter and Summer in a region for 2016-2019 is given below. Year Winter Summer 2016 20 45 2017 35 44 2018 28 43 2019 29 48 Assume the additive time series model with no trend and using the above data, answer the following questions. 1. Compute two period moving averages MA(2). 2. What is the advantage of computing MA(2). 3. Do you need to compute CMA. Why or why not. 4. Estimate the seasonal factors for Winter and summer. 5. Forecast the average temperature for Fall and Spring 2020 assuming CL=2 and IR=0
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