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Lecture 3- Decomposition

Authored by Nikoletta Legaki

Computers

KG - University

Used 10+ times

Lecture 3- Decomposition
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7 questions

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1.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

Which is the seasonality for daily data?

7
365
7 or 365 it depends
24

2.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

Which is the best choice for smoothing and reduce random variation?

ma(3x3)
ma(5x3)
ma(3x5)
ma(5x5)

3.

MULTIPLE CHOICE QUESTION

45 sec • 1 pt

Centre 12 -  ma could be used with monthly data and each month would would be given equal weight. Similarly, a 2x24 or 2x36 would give equal weigths to all months and produce a smoother fit than the 2x12MA. 

true
false

4.

MULTIPLE CHOICE QUESTION

1 min • 1 pt

In case of a seasonal quarterly data (observations per 3 months), which is the best choice for moving average to eliminate seasonality?

centre moving average (4)
ma(3)
weighted moving average (0.125, 0.25, 0.25, 0.25, 0.125)
centre moving average (4) or weighted moving average (0.125, 0.25, 0.25, 0.25, 0.125)

5.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

Which is moving average's objective?

forecasting
smoothing
estimate trend & cycle
all the above options

6.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

Which of the following is a measure of bias? 

Mean Absolute Error (MAE) 
Mean Squares Error (MSE)
Mean Error (ME)
Mean Absolute Percntage Error (MAPE)

7.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

What does it mean for a forecast model that forecast ME=14 units & MAE=14 units as well

forecast model is accurate
Forecast model has no bias
forecast model is optimistic (biased)
forecast model is pessimistic (biased)

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