Goodness of fit

{
  "id": "MLC-T-ENV-012429",
  "term": "Goodness of fit",
  "field": "Environment",
  "definitions": [
    "The goodness of fit of a statistical model describes how well the model fits a set of observed values. AVERT uses the R2 metric to describe goodness of fit, or how well dependent variables describe independent variables (i.e., how well the y-axis values describes the x-axis values) in the Signal-to-Noise Diagnostic, A set of random values that do not fit the observed data at all has an R2 value of zero (0), while perfectly matched data have an R2 value of one (1).",
    "A statistic that measures the dispersion of data about a dose-response curve in 44 order to provide a test for rejection of a model due to lack of an adequate fit, e.g., a P-value < 0.1."
  ],
  "subject": [
    "Sustainability and green living",
    "Chemicals, toxics and pesticides"
  ],
  "references": [
    "AVERT Glossary",
    "Benchmark Dose Software (BMDS) Glossary of Terms"
  ],
  "url": "https://mlchart.com/terminology/environment/goodness-of-fit/"
}