All models require assumptions $($things that are accepted as true or as certain to happen,

without proof$).$ By understanding the assumptions of a model, we are more confident about

the results generated from the model. Please match the assumptions and their associated

forecasting approach.

Judgmental forecasting approach

Experimental forecasting approach

Time series forecasting approach

$[$ Choose $]$

We can sample local and extrapolate that to the population.

what happened in the past will happen again in the future.

Someone somewhere "knows" what the demand is$.$

the demand is driven or caused by some underlying factors which can be captured and measured ahead of time.