Bivariate Data
Variables
Categorical Variables
A categorical variable is something that has two or more categories, but there is no intrinsic ordering to the categories.
Variables
A characteristic number that be counted or measured
click to edit
click to edit
Multivariate Data
Bivariate data is data on each of two variables, where each value of one of the variables is paired with a value of the other variable.
Multivariate data analysis is a type of statistical analysis that involves more than two dependent variables, resulting in a single outcome.
Discrete & Continuous Variables
Discrete variables are countable in a finite amount of time.
click to edit
Variables
click to edit
click to edit
Response Variables
Dependent variables are studied under the supposition or demand that they depend, by some law or rule, on the values of other variables.
Correlation
In statistics, correlation or dependence is any statistical relationship, whether causal or not, between two random variables or bivariate data.
Causation
Causation indicates that one event is the result of the occurrence of the other event
Regression Line
A regression line is an estimate of the line that describes the true, but unknown, linear relationship between the two variables.
click to edit
Extrapolation
extrapolation is a type of estimation, beyond the original observation range, of the value of a variable on the basis of its relationship with another variable.
click to edit
Interpolation
interpolation is a type of estimation, a method of constructing new data points based on the range of a discrete set of known data points.
Continuous Variables are measured in a finite amount of time.
click to edit
click to edit
click to edit