Assertion: regression's variable | /r/HasProperty | dichotomous
Facets:
value: in nature
type: LOCATION
value: in logistic regression
type: OTHER
Source sentences:
text: Logistic regression is generally used where the dependent variable is Binary or Dichotomous.
text: You know you’re dealing with binary data when the output or dependent variable is dichotomous or categorical in nature; in other words, if it fits into one of two categories (such as
text: Logistic regression is used for classification problems when the output or dependent variable is dichotomous or categorical.
text: If dependent variable is dichotomous, then logistic regression should be used.
text: Where the dependent variable is dichotomous or binary in nature, we cannot use simple linear regression.
text: We use the “Factor(s)” box because the independent variables are dichotomous.
text: Note, however, that the independent variable can be continuous (e.g., BMI) or can be dichotomous (see below).
text: In logistic regression, the dependent variable is binary or dichotomous, i.e. it only contains data coded as 1 (TRUE, success, pregnant, etc.) or 0 (FALSE, failure, non-pregnant, etc.).
text: The dependent variable must be binary or dichotomous, and should only contain data coded as 0 or 1.