In Table L-1, the total value of imports of Indonesian goods and services from China for the 2010-2019 period is reported on a quarterly basis. With this data you are asked to analyze it with the Trend model and Seasonal Index. Question: a. Calculate a moving average with the average period length of 4 or MA (4) [why four?] And put the results in a column. Beware of selecting the rows to place the average result. b. Calculate the moving average with the length of the average period is 2 from the data in column MA (4) and the result is given the symbol MA (2x4) and the result is placed in a column. Beware of selecting the rows to place the average result. c. Calculate the ratio to the Moving Average (Y / MA (2x4)) and place it in a new column!

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In Table L-1, the total value of imports of Indonesian goods and services from China for the 2010-2019
period is reported on a quarterly basis. With this data you are asked to analyze it with the Trend model and
Seasonal Index.
Question:
a. Calculate a moving average with the average period length of 4 or MA (4) [why four?] And put the results
in a column. Beware of selecting the rows to place the average result.
b. Calculate the moving average with the length of the average period is 2 from the data in column MA (4)
and the result is given the symbol MA (2x4) and the result is placed in a column. Beware of selecting the
rows to place the average result.
c. Calculate the ratio to the Moving Average (Y / MA (2x4)) and place it in a new column!
d. Calculate a seasonal index and interpret the results!
e. Create a Deseasonalized data series and place it in a new column!
f. Plot the Dessasonalized data series and read the long-term movement patterns of data! Remember that
understanding of the data movement patterns determines the trend equation.
g. Based on the pattern read from the chart, then Estimate the long-term trend line (linear or non-linear)!
Interpret the meaning of the trend line!
h. By using trend line equations and seasonal indexes, project the value of Indonesia's imports from China,
in Q1, Q2, Q3, and Q4 in 2020. Assume that there is no Covid-19 outbreak and other economic disruptions
that plague the two countries.
Table L-1. Imports Value of Indonesian goods and services from China
Import Value
In Million
Year
Quarter
USD
2010
Q-1
4,068.2
Q-2
4,945.5
Q-3
5,104.9
Q-4
5,683.8
2011
Q-1
5,156.6
Q-2
6,749.3
Q-3
6,451.9
Q-4
6,671.8
2019
Q-1
10,048.8
Q-2
9,888.1
Q-3
11,324.1
Q-4
11,904.8
Transcribed Image Text:In Table L-1, the total value of imports of Indonesian goods and services from China for the 2010-2019 period is reported on a quarterly basis. With this data you are asked to analyze it with the Trend model and Seasonal Index. Question: a. Calculate a moving average with the average period length of 4 or MA (4) [why four?] And put the results in a column. Beware of selecting the rows to place the average result. b. Calculate the moving average with the length of the average period is 2 from the data in column MA (4) and the result is given the symbol MA (2x4) and the result is placed in a column. Beware of selecting the rows to place the average result. c. Calculate the ratio to the Moving Average (Y / MA (2x4)) and place it in a new column! d. Calculate a seasonal index and interpret the results! e. Create a Deseasonalized data series and place it in a new column! f. Plot the Dessasonalized data series and read the long-term movement patterns of data! Remember that understanding of the data movement patterns determines the trend equation. g. Based on the pattern read from the chart, then Estimate the long-term trend line (linear or non-linear)! Interpret the meaning of the trend line! h. By using trend line equations and seasonal indexes, project the value of Indonesia's imports from China, in Q1, Q2, Q3, and Q4 in 2020. Assume that there is no Covid-19 outbreak and other economic disruptions that plague the two countries. Table L-1. Imports Value of Indonesian goods and services from China Import Value In Million Year Quarter USD 2010 Q-1 4,068.2 Q-2 4,945.5 Q-3 5,104.9 Q-4 5,683.8 2011 Q-1 5,156.6 Q-2 6,749.3 Q-3 6,451.9 Q-4 6,671.8 2019 Q-1 10,048.8 Q-2 9,888.1 Q-3 11,324.1 Q-4 11,904.8
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