Accuracy: It ensures that the analytical method accurately reflects the true concentration of the analyte. Precision: It provides consistency in results, which is critical for reproducibility. Regulatory Compliance: Regulatory agencies, such as the FDA and EMA, require proof of linearity as part of method validation. Data Integrity: It helps in maintaining the integrity and reliability of the data generated.
