A new sampling strategy for polynomial regression was developed by combining two methods: Christoffel least squares and quasi-optimal sampling. Samples are chosen from a specific measure and then re-ordered using the new algorithm. By solving a weighted least squares problem on a smaller sample set, the strategy achieves high accuracy and stability with fewer samples compared to traditional methods.