• In statistics, a categorical variable (also called qualitative variable) is a variable that can take on one of a limited, and usually fixed, number of...
    22 KB (3,051 words) - 16:55, 25 March 2024
  • The categorical distribution is the generalization of the Bernoulli distribution for a categorical random variable, i.e. for a discrete variable with...
    25 KB (4,008 words) - 10:08, 3 August 2023
  • Thumbnail for Color code
    to be categorical (representing unordered/qualitative categories) though may also be sequential (representing an ordered/quantitative variable). The earliest...
    11 KB (1,274 words) - 06:27, 23 January 2024
  • known as one-hot encoding. Dummy variables are commonly used in regression analysis to represent categorical variables that have more than two levels,...
    6 KB (722 words) - 01:19, 8 December 2023
  • modifier). The effect of a moderating variable is characterized statistically as an interaction; that is, a categorical (e.g., sex, ethnicity, class) or continuous...
    20 KB (2,657 words) - 21:05, 14 July 2023
  • Thumbnail for Logistic regression
    for binary regression since about 1970. Binary variables can be generalized to categorical variables when there are more than two possible values (e...
    127 KB (20,601 words) - 07:56, 20 April 2024
  • dependent variable (DV) are equal across levels of one or more categorical independent variables (IV) and across one or more continuous variables. For example...
    10 KB (1,321 words) - 06:43, 20 December 2023
  • analysis of categorical data, also known as data on the nominal scale and as categorical variables. Bowker's test of symmetry Categorical distribution...
    3 KB (279 words) - 13:03, 9 April 2024
  • sometimes called one-cold. In statistics, dummy variables represent a similar technique for representing categorical data. One-hot encoding is often used for...
    9 KB (1,218 words) - 10:11, 6 January 2024
  • Log-linear analysis (category Categorical variable interactions)
    in statistics to examine the relationship between more than two categorical variables. The technique is used for both hypothesis testing and model building...
    12 KB (1,489 words) - 15:31, 12 June 2023