ADA (Anchor Data Augmentation) outperforms ERM (Expected Risk Minimization) and competes with C-Mixup in in-distribution generalization tasks.ADA is evaluated and compared to other approaches on tasks involving in-distribution generalization using various datasets.ADA consistently improves regression fit compared to ERM and is superior to other data augmentation strategies.ADA shows significant improvement in reducing error for the Airfoil dataset.