Exam 15: Demand Management and Forecasting

If the intercept value of a linear regression model is 40,the slope value is 40 and the value of X is 40,which of the following is the resulting forecast value using this model?

A tracking signal (TS)can be calculated using the arithmetic sum of forecast deviations divided by the MAD.

A company wants to forecast demand using the weighted moving average.If the company uses two prior yearly sales values and we want to weight year 2007 at 35% and year 2008 at 65%,what is the weighted moving average forecast for Year 2009?

The equation for exponential smoothing states that the new forecast is equal to the old forecast plus the error of the old forecast.

Experience and trial and error are the simplest ways to choose weights for the weighted moving average forecasting model.

Continual review and updating in light of new data is a forecasting technique called second-guessing.

In general,which forecasting time frame best identifies seasonal effects?

In business forecasting,what is usually considered a short-term time period?

Multiple regression analysis uses several regression models to generate a forecast.

Which of the following forecasting methodologies is considered a causal forecasting technique?

What are the five steps of CPFR (collaborative planning,forecasting and replenishment?)

Time series forecasting models make predictions about the future based on analysis of past data.

The standard error of the estimate of a linear regression is not useful for judging the fit between the data and the regression line when doing forecasts.

A company has actual unit demand for four consecutive years of 100,105,135 and 150.The respective forecasts were 120 for all four years.Which of the following is the resulting MAD value that can be computed from this data?

The value of the smoothing constant alpha in an exponential smoothing model is between 0 and 1.

Exponential smoothing forecasts always lag behind the actual occurrence but can be corrected somewhat with a trend adjustment.

Exponential smoothing is always the most accurate of all forecasting models.

Which of the following forecasting methodologies is considered a causal forecasting technique?

Which of the following is the portion of observations you would expect to see lying within a plus or minus 3 MAD range?

The weighted moving average model does not work with non-linear forecast values.