Polynomial regression is a powerful tool for analyzing the relationship between office prices and various factors. By fitting a polynomial equation to the data, you can capture complex trends that may not be apparent with simpler models. This approach is especially useful in real estate, where prices are often influenced by a variety of variables such as location, square footage, and market demand.

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