Independent Variables


Return to Data Cleaning

Often called predictor variables. These types of variables are often associated with the dependent variables in a way that influences the values of those outcomes such as child anthropometry. Examples of independent variables in nutritional data include parental education, socio-economic status, female headed households and others.