2011•Journal of Gannan Normal UniversityRequires access

Evaluation of Uncertainty of Regression Coefficient Ratio in One Dimensional Linear Regression Equation

Ying Min Luo

Open publisher page 0 citations

Abstract

In this paper regression coefficient correlation was analyzed and the formula of uncertainty of regression coefficient ratio in one dimensional linear regression equation was derived.The shortcomings in some documents about the evaluation of uncertainty of regression coefficient ratio were pointed out in this paper.

About this research paper

What this paper is about

In this paper regression coefficient correlation was analyzed and the formula of uncertainty of regression coefficient ratio in one dimensional linear regression equation was derived.The shortcomings in some documents about the evaluation of uncertainty of regression coefficient ratio were pointed out in this paper.

Why it matters

A significance statement is not available in the OpenAlex record.

Key contribution

A contribution statement is not available in the OpenAlex record.

Method / approach

Method details are not available in the OpenAlex metadata.

Main findings

Findings are not separately available in the OpenAlex metadata.

Limitations

Limitations are not available in the OpenAlex metadata.

Applications

Application details are not available in the OpenAlex metadata.

Available abstract

In this paper regression coefficient correlation was analyzed and the formula of uncertainty of regression coefficient ratio in one dimensional linear regression equation was derived.The shortcomings in some documents about the evaluation of uncertainty of regression coefficient ratio were pointed out in this paper.

Key concepts: Regression dilution, Linear regression, Regression analysis, Regression, Mathematics, Statistics, Path coefficient, Proper linear model

Related papers

Back to paper searchBrowse research topicsOriginal source
Evaluation of Uncertainty of Regression Coefficient Ratio in One Dimensional Linear Regression Equation — Research Paper | ScholarLens