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What is Limitations For Least Square Method about?

The least-squares method is a regression analysis technique used to determine the line of best fit for a dataset, focusing on the relationship between two variables. However, it has limitations such as sensitivity to outliers, reliance on evenly distributed data, and the inability to account for other influencing factors. Despite these drawbacks, it remains a popular tool for making predictions in various fields, including finance.

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