TY  - JOUR
T1  - An Approach Towards the Least-Squares Method for Simple Linear Regression
AU  - Tali, Hasan Halit
AU  - Çelti, Ceren
PY  - 2022
DA  - September
Y2  - 2022
DO  - 10.54569/aair.1032607
JF  - Advances in Artificial Intelligence Research
JO  - Adv. Artif. Intell. Res.
PB  - Osman ÖZKARACA
WT  - DergiPark
SN  - 2757-7422
SP  - 38
EP  - 44
VL  - 2
IS  - 2
LA  - en
AB  - 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.
KW  - Applied mathematics
KW  - Machine learning
KW  - Simple linear regression
KW  - Least-Squares method
KW  - Outliers
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UR  - https://doi.org/10.54569/aair.1032607
L1  - https://dergipark.org.tr/tr/download/article-file/2115730
ER  -