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1. Double exponential model improves the weakness of single exponential smoothing by adding ________________________ component. 1. Trend 2. Seasonality 3. Cyclicality 4. Randomness 2. Identifying

1. Double exponential model improves the weakness of single exponential smoothing by adding ________________________ component.

1.

Trend

2.

Seasonality

3.

Cyclicality

4.

Randomness

2. Identifying a trend by regression of the raw data (without deseasonalization) could be misleading since the regression line can be ____________.

1.

exaggerate the reality

2.

biased, being influenced by the starting and ending points of data

3.

dispersed following the Brownian motion

4.

a reflection of bounded rationality

3. A simple moving average is a special case of the counterpart weighted moving average in which the weights are ____________.

1.

random

2.

equal

3.

chosen arbitrarily

4.

spread

4. Which of the following is NOT relevant with Revenue Management environment

1.

Market segmentation by price and dynamic pricing

2.

Perishable services such as hotels and airlines

3.

Perishable services such as hotels and airlines

4.

Huge variable cost and trivial fixed cost

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