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Comparison of Classical Linear Regression and Orthogonal Regression According to the Sum of Squares Perpendicular Distances
2016
Journal:  
Eğitimde ve Psikolojide Ölçme ve Değerlendirme Dergisi
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Abstract:

Regression analysis is a statistical technique for investigating and modeling the relationship between variables. The purpose of this study was the trivial presentation of the equation for orthogonal regression (OR) and the comparison of classical linear regression (CLR) and OR techniques with respect to the sum of squared perpendicular distances. For that purpose, the analyses were shown by an example. It was found that the sum of squared perpendicular distances of OR is smaller. Thus, it was seen that OR line has appeared to present a much better fit for the data than CLR line. Depending on those results, the OR is thought to be a regression technique to obtain more accurate results than CLR at simple linear regression studies.

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Eğitimde ve Psikolojide Ölçme ve Değerlendirme Dergisi

Field :   Eğitim Bilimleri; Hukuk; Sosyal, Beşeri ve İdari Bilimler

Journal Type :   Uluslararası

Metrics
Article : 184
Cite : 812
2023 Impact : 0.286
Details
Eğitimde ve Psikolojide Ölçme ve Değerlendirme Dergisi