Accession Number:

AD0876630

Title:

A Backward Elimination General Significance Regression Model.

Descriptive Note:

Technical rept.,

Corporate Author:

ARMY MISSILE COMMAND REDSTONE ARSENAL AL SYSTEMS ANALYSIS DIV

Report Date:

1970-10-01

Pagination or Media Count:

55.0

Abstract:

The report develops a statistical procedure for selecting a proper set of independent variables in a linear regression model. The procedure is a backward elimination procedure in which initially a large model is hypothesized and systematically non-significant variables are eliminated one by one. Two different situations were investigated concerning sample estimates of the error pure error, and using lack-of-fit as an error estimate, with the effects on the testing procedure for each case. Author

Subject Categories:

  • Statistics and Probability

Distribution Statement:

APPROVED FOR PUBLIC RELEASE