Description

This Master Prompt provides an advanced, comprehensive and methodologically rigorous framework for conducting, interpreting, validating and reporting linear and nonlinear regression analyses using GraphPad Prism. It integrates quantitative research design, mathematical modelling, experimental data organization, statistical estimation, curve fitting, model comparison, parameter identification, residual diagnostics, uncertainty quantification and scientific interpretation into a unified analytical workflow. The framework encompasses simple linear regression, scientifically justified polynomial relationships, exponential and logarithmic functions, saturation models, sigmoidal relationships, four-parameter logistic models, five-parameter asymmetric logistic models and other relevant nonlinear equations supported by GraphPad Prism.