When describing the merits of these three forecasting methods, we discussed that regression allows us to include other predictor variables besides "time" to make our forecasts. What potential advantage does this provide us when we are making forecasting?

Select one:

a.

Regression models are more accurate than moving average or exponential smoothing models.

b.

Regression models offer the possibility of describing factors that might be contributing to our forecasts.

c.

Regression models are easier to construct and implement than moving average or exponential smoothing models.

d.

None of the other options are true.