Asked by Kelin Martinez on May 20, 2024

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Forecasting methods that use historical demand to make a forecast are known as

A) qualitative forecasting methods.
B) time series forecasting methods.
C) causal forecasting methods.
D) simulation forecasting methods.

Time Series Forecasting Methods

Statistical techniques used to analyze time-ordered data points in order to predict future values based on past trends and patterns.

Qualitative Forecasting Methods

Forecasting techniques based on judgment and opinion, rather than mathematical models, often used when precise data is unavailable.

Causal Forecasting Methods

Techniques that predict future events based on identified relationships between dependent and independent variables, taking into account factors that cause variations in data.

  • Understand the different types of forecasting methods and their characteristics.
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relly oassyharryMay 22, 2024
Final Answer :
B
Explanation :
Time series forecasting methods use historical demand data to make a forecast, while qualitative forecasting methods rely on subjective opinions and causal forecasting methods focus on identifying the cause-and-effect relationship between the demand and external factors. Simulation forecasting methods involve creating a model of the system and using it to generate a forecast. Therefore, the best choice for forecasting methods that use historical demand is B, time series forecasting methods.