ANSWER 1-5 IF TRUE OR FALSE 1. As an initial attempt, we use multiple line chart to see trend and cycle 2. Seasonal adjusted is one of the components of time series to be decomposed. 3. In the irregularity (Error) component, special events or activities are manifested. One can also observe controlled volatility during periods where government made interventions on the series as a sign of good governance.

ENGR.ECONOMIC ANALYSIS
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Chapter1: Making Economics Decisions
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ANSWER 1-5 IF TRUE OR FALSE
1. As an initial attempt, we use multiple line chart to see trend and cycle
2. Seasonal adjusted is one of the components of time series to be
decomposed.
3. In the irregularity (Error) component, special events or activities are
manifested. One can also observe controlled volatility during periods where
government made interventions on the series as a sign of good
governance.
4. Single Exponential Smoothing can also be applied on time series with trend
and seasonality, but the other exponential smoothing methods will most
likely produce better forecast.
5. In doing a forecast, we make it a point that the forecast band (having upper
and lower limits) is as narrow as possible, having a smaller standard error,
to produce a more efficient forecast.
Transcribed Image Text:ANSWER 1-5 IF TRUE OR FALSE 1. As an initial attempt, we use multiple line chart to see trend and cycle 2. Seasonal adjusted is one of the components of time series to be decomposed. 3. In the irregularity (Error) component, special events or activities are manifested. One can also observe controlled volatility during periods where government made interventions on the series as a sign of good governance. 4. Single Exponential Smoothing can also be applied on time series with trend and seasonality, but the other exponential smoothing methods will most likely produce better forecast. 5. In doing a forecast, we make it a point that the forecast band (having upper and lower limits) is as narrow as possible, having a smaller standard error, to produce a more efficient forecast.
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