Quantitative methods are based on the study of past achievements, and make the assumption that the behavior of past achievements will be repeated in the future.
This chapter describes some quantitative methods and gives examples of forecast calculations using each of them.
Causal methods establish a cause-and-effect relationship between the variable to be predicted (explained variable) and one (or more) explanatory variable(s) (exogenous variables).
If the relationship is linear, and can be explained by a single explanatory variable, we speak of a "simple linear regression" model, which can be written as :
xml...
You do not have access to this resource.
Exclusive to subscribers. 97% yet to be discovered!
This offer includes interactive articles. Their quizzes highlight the key information to remember and validate their acquisition: from reader to player, you can enrich your knowledge.
You can easily identify them thanks to this pictogram:
Français
Forecast error measurements
