A forecasting model where actual occurrences follow an identifiable pattern over time is known as the ________ model:

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BlackTom AI · Accepted Answer

When considering forecasting models that exhibit patterns in actual occurrences over time, the key characteristic is that data points are ordered in time and display systematic trends, seasonality, or repeating cycles. 
Option 1: 'Controlled' suggests a model under external controls or interventions, which does not inherently imply time-based patterns in the observed outcomes, so this is not the standard term for a pattern-based forecasting model. 
Option 2: 'Time Series' directly denotes a sequence of observations indexed in time, where identifiable patterns such as trend, seasonality, and autocorrelation are expected and used for forecasting. This aligns with the definition of a forecasting model built on observing data across time. 
Option 3: 'Subjective' indicates reliance on personal judgment rather than data-driven patterns, which contradicts the idea of an observable identifiable pattern over time. 
Option 4: 'Casual' (likely intended as 'Casual' or 'Casual' relationship) implies a simple but not time-structured relationship, not the established concept of time-ordered pattern-based forecasting. 
Thus, considering the emphasis on identifiable temporal patterns guiding forecasts, Time Series is the appropriate model type. The other options describe concepts that do not capture the notion of time-ordered patterns used for forecasting.

11:709:448:01 FOOD PROD MGMT MIDTERM Exam-Fall 25-October 23

A forecasting model where actual occurrences follow an identifiable pattern over time is known as the ________ model:

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