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Transposition of Linear Regression Equations: A Myth or Reality?

Dumo O. Mac-Barango

Abstract

The purpose of this research is to ascertain the realism or the myth which surrounds the process of transpositions of linear regression equations; this is with a view towards revealing whether or not changes could occur in the transposed ones. Using Linear equations derived from various budgetary allocations as dependent variables) to various sectors of the economy as well as other parameters as (Independent variables), the research examines if there exists significant departures from the outcome of the status of the initial regression equations and those resultant of the transpositions. Research findings revealed that several of the equations of transposed linear equations, when compared against those of the initial ones did not establish significant departures in terms of the status of the relationships from the earlier ones. The results of this research presents basis for further exploratory studies on the impact of transpositions of regression equations on the status of the parameters as well as the extent of the significance of relationships for future research.

Keywords

(i) Statistics & Statistical Techniques (ii) Regression models (iii) Best lines of fits of straight line equations (iv) Simple and Multiple Regression models (v) Transpositions of linear Regression

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