Competing Function Model Validation

This study guide covers model validation by focusing on linear, quadratic, and exponential functions. It explains how to choose the appropriate model based on data patterns and rate of change. It also teaches how to evaluate model fit using residuals, distinguishing between random scatter (good fit) and patterns (bad fit). Finally, it discusses errors, including overestimation and underestimation, and their real-world implications.