Cancer is a multifaceted disease with various contributing factors, including genetic, environmental, and lifestyle elements. These factors often interact in non-linear ways, making polynomial regression a valuable tool for capturing these intricate relationships. For instance, tumor growth rates, patient survival times, and response to treatment can all be better understood using polynomial models.
