Forward Regression

question 17

Multiple Choice

Forward regression

• A)begins with all potential explanatory variables in the equation and deletes them one at a time until further deletion would do more harm than good.
• B)adds and deletes variables until an optimal equation is achieved.
• C)begins with no explanatory variables in the equation and successively adds one at a time until no remaining variables make a significant contribution.
• D)randomly selects the optimal number of explanatory variables to be used.

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Definitions:

Intersection of Events

The set containing all the outcomes that are common to two or more events in probability and statistics.

Union of Events

The set of outcomes that belong to either one event or another in probability, including those that belong to both events.

Sample Space

The set of all possible outcomes in a statistical experiment.

Conditional Probability

The probability of an event occurring, given that another event has already occurred.