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.
Applied mathematics Machine learning Simple linear regression Least-Squares method Outliers
Birincil Dil | İngilizce |
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Konular | Yapay Zeka, Matematik |
Bölüm | Araştırma Makalesi |
Yazarlar | |
Yayımlanma Tarihi | 23 Eylül 2022 |
Kabul Tarihi | 1 Temmuz 2022 |
Yayımlandığı Sayı | Yıl 2022 |
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