AN APPROACH TOWARDS THE LEAST-SQUARES METHOD FOR SIMPLE LINEAR REGRESSION

Hasan Halit Tali̇, Ceren Çelti̇
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Abstract

This study approaches the least-squares method for simple linear regression model. The least-squares line does not comply with the data when there are outliers that have deceptive effects on the results in the dataset. The study aims to develop a method for obtaining a line that complies more with the data when there are outliers in the dataset.
简单线性回归的最小二乘方法
本文研究了简单线性回归模型的最小二乘法。当数据集中存在对结果有欺骗作用的离群值时,最小二乘线不符合数据。本研究旨在开发一种在数据集中存在离群值时获得更符合数据的直线的方法。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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