A. A polynomial kernel helps in fitting a regression model that can capture more complex relationships in the input data. It transforms the original features into polynomial features of a given degree, thus allowing the model to learn non-linear relationships. This is especially beneficial in scenarios where the relationship between the dependent and independent variables is not linear, providing a more flexible and powerful model.