An Approach Towards the Least-Squares Method for Simple Linear Regression

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.

Keywords

• Applied mathematics
• Machine learning
• Simple linear regression
• Least-Squares method
• Outliers

References

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