Examples of data patterns that must be considered when forecasting include:
A) Cluster
B) Horizontal
C) Cycle
D) Qualitative
E) b and c

Question

Quizplus · Accepted Answer

Cluster refers to a group of data points that are located closely together. Horizontal describes data that shows little to no change over a period of time. Cycle refers to data that repeats itself over a specific period of time. These are important patterns that need to be considered when forecasting as they can impact the accuracy of the predictions. Qualitative data, on the other hand, refers to data that cannot be quantified or measured numerically and does not fit into the category of data patterns that need to be considered when forecasting.

Examples of Data Patterns That Must Be Considered When Forecasting