Which of the following is a causal method for forecasting?
A)Moving average
B)Naïve method
C)Linear regression
D)MSE
E)Delphi method

Question

Quizplus · Accepted Answer

Linear regression is a causal method for forecasting as it analyzes the relationship between dependent and independent variables and makes a prediction based on this relationship. It helps in identifying the causal relationship between the factors affecting the forecasted variable and the predicted outcomes. Moving average and Naïve method are smoothing techniques, MSE (Mean Squared Error) is a statistical measure used to evaluate the accuracy of a forecast, and Delphi method is a qualitative forecasting method.

Which of the Following Is a Causal Method for Forecasting