Exam 18: Forecasting

In time series data depicting demand, which of the following is not considered a component of demand variation?

If a firm produced a product that was experiencing growth in demand, the smoothing constant alpha (reaction rate to differences) used in an exponential smoothing forecasting model would tend to be which of the following?

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

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?

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

You are using an exponential smoothing model for forecasting.The running sum of the forecast error statistics (RSFE) are calculated each time a forecast is generated.You find the last RSFE to be 34.Originally, the forecasting model used was selected because of its relatively low MAD of 0.4.To determine when it is time to re-evaluate the usefulness of the exponential smoothing model, you compute tracking signals.Which of the following is the resulting tracking signal?

Bayesian analysis is the simplest way to choose weights for the weighted moving average forecasting model.

For every forecasting problem, there is one best forecasting technique.

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

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