{
  "package" : "hl7.fhir.r4.core@4.0.1",
  "definition" : "Linear regression is an approach for modeling two-dimensional sample points with one independent variable and one dependent variable (conventionally, the x and y coordinates in a Cartesian coordinate system) and finds a linear function (a non-vertical straight line) that, as accurately as possible, predicts the dependent variable values as a function of the independent variables. Source: [Wikipedia](https://en.wikipedia.org/wiki/Simple_linear_regression)  This Statistic code will return both a gradient and an intercept value.",
  "system" : "http://terminology.hl7.org/CodeSystem/observation-statistics",
  "property" : [ ],
  "codesystem" : "6833ba95-f327-5bfc-a1e4-50ba3be988a6",
  "concept_id" : "0ce330ec-388a-5142-8e59-d5373de2db1f",
  "ancestors" : {
    "regression" : 0
  },
  "id" : "eedb2027-b02a-4f6d-9cc2-e17d30121eca",
  "code" : "regression",
  "display" : "Regression",
  "version" : "4.0.1"
}