Answer:
The correct answer is letter "C": backward elimination.
Explanation:
Multiple regression is a method used to measure the relationship that some independent variables could have within a statistical study. These studies could be useful at the financial or scientific level to support and report experimental mathematical results in an understandable way.
In multiple regression, backward elimination refers to an approach used to remove features that have irrelevant influence on the dependent variable or that violate the rule of the regression. It is a form of stepwise regression.