Exam 5: Forecasting

Describe yield management and give an example of it.

A time-series analysis considers cycles,trends,and seasonal variation to construct forecasts.

What acronym describes the technology that utilizes an integrated circuit and a tag antenna to transmit and record information on a product?

Identify a product or service that experiences daily,weekly,and monthly seasonal demand.

Which of the following is not a measure of forecast error?

The mean absolute percentage error is useful because it presents errors as a percentage and makes it easy to compare forecasts from two different datasets.

The naïve forecast for the next period is the actual value observed in the current period.

The local university's student weight room recorded the number of visitors over the previous 5 days. What would a 3-day weighted moving average forecast be for the 6th day using a weight of 0.6 for the most recent period,0.3 for the second most recent period,and 0.1 for the third most recent period?

If the forecast for the first quarter for next year is 1000 units,what is the seasonally adjusted demand if the first quarter seasonal index is 1.24?

Forecasts based on averages generally have what relation to actual demand?

One of the most common causal models is linear regression.

Which of the following statements generally describe forecasts?

Identify two advantages and two disadvantages of sales force planning.

A moving average filters out the effects of random variation.

A forecast should maximize forecast error.