Which one of the following is an example of causal forecasting technique?
A) weighted moving average
B) linear regression
C) exponential smoothing
D) Delphi method

Question

Quizplus · Accepted Answer

Linear regression is a causal forecasting technique that involves identifying the relationship between independent and dependent variables to make predictions about future outcomes. It is used to forecast changes in the dependent variable based on changes in the independent variable. In contrast, weighted moving average, exponential smoothing, and Delphi method are all non-causal forecasting techniques that rely on analyzing historical patterns and trends to make predictions.

Which One of the Following Is an Example of Causal