What Are the Implications of Improper Fit in Data Analysis?
Improper fit in data analysis refers to the use of statistical models that do not accurately reflect the underlying data. In toxicology, this can result in incorrect conclusions about the toxicity of a substance. Using an inappropriate model can lead to either an overestimation or underestimation of risk, affecting public health policies and regulatory decisions.
