# 2759 Fitting Trend Lines And Forecasting (Seasonal Data)

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| By Anthony Nunan
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Anthony Nunan
Community Contributor
Quizzes Created: 136 | Total Attempts: 44,016
Questions: 44 | Attempts: 158

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• 1.

### From the time series plot above, should you deseasonalise the data before calculating the trend line?

• A.

No, it appears to have random variation only.

• B.

Yes, it appears to have seasonal variation that needs to be deseasonalised

• C.

No, it appears to have cyclic variation that needs to be randomised

• D.

No, it appears to have cyclic variation

B. Yes, it appears to have seasonal variation that needs to be deseasonalised
Explanation
The correct answer is "Yes, it appears to have seasonal variation that needs to be deseasonalised." This is because the time series plot shows a clear pattern of regular ups and downs, indicating that there is a seasonal component present in the data. Deseasonalising the data will help to remove this seasonal variation and allow for a more accurate calculation of the trend line.

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• 2.

### From the time series plot above, should you deseasonalise the data before calculating the trend line?

• A.

No, it appears to have random variation only.

• B.

Yes, it appears to have seasonal variation that needs to be deseasonalised

• C.

No, it appears to have cyclic variation that needs to be randomised

• D.

Yes, it appears to have cyclic variation

B. Yes, it appears to have seasonal variation that needs to be deseasonalised
Explanation
The correct answer is "Yes, it appears to have seasonal variation that needs to be deseasonalised." This is because the time series plot shows a clear pattern that repeats at regular intervals, indicating the presence of seasonality. Deseasonalising the data would remove this seasonal variation, allowing for a more accurate calculation of the trend line.

Rate this question:

• 3.

### From the time series plot above, should you deseasonalise the data before calculating the trend line?

• A.

No, it appears to have random variation only.

• B.

Yes, it appears to have seasonal variation that needs to be deseasonalised

• C.

No, it appears to have cyclic variation which requires smoothing

• D.

Yes, it appears to have cyclic variation

B. Yes, it appears to have seasonal variation that needs to be deseasonalised
Explanation
The correct answer is Yes, it appears to have seasonal variation that needs to be deseasonalised. This is because the time series plot shows a clear pattern of repeating highs and lows at regular intervals, indicating the presence of seasonality. Deseasonalising the data will remove this seasonal variation and allow for a more accurate calculation of the trend line.

Rate this question:

• 4.

### From the time series plot above, should you deseasonalise the data before calculating the trend line?

• A.

No, it appears to have random variation only.

• B.

Yes, it appears to have seasonal variation that needs to be deseasonalised

• C.

No, it appears to have cyclic variation

• D.

Yes, it appears to have cyclic variation

B. Yes, it appears to have seasonal variation that needs to be deseasonalised
Explanation
The correct answer is "Yes, it appears to have seasonal variation that needs to be deseasonalised." This is because the time series plot shows a repeating pattern or cycle, indicating the presence of seasonality. To accurately calculate the trend line, it is necessary to remove the seasonal component from the data.

Rate this question:

• 5.

### From the time series plot above, should you deseasonalise the data before calculating the trend line?

• A.

No, it appears to have random variation only.

• B.

Yes, it appears to have seasonal variation that needs to be deseasonalised

• C.

No, it appears to have cyclic variation which requires smoothing

• D.

Yes, it appears to have cyclic variation