Maps
Multivariate Data
Bivariate data
Categorical Variables
Discrete variables
Data for two variables (usually two types of related data)
Multivariate data analysis is a type of statistical analysis that involves more than two dependent variables, resulting in a single outcome
A categorical variable is a variable that can take on one of a limited, and usually fixed, number of possible values, assigning each individual or other unit of observation to a particular group or nominal category on the basis of some qualitative property.
A discrete variable is a variable whose value is obtained by counting.
Continuous variables
Continuous variables are numeric variables that have an infinite number of values between any two values. A continuous variable can be numeric or date/time.
Response Variables
The response variable is the focus of a question in a study or experiment. An explanatory variable is one that explains changes in that variable
Correlation
Correlation is a statistical measure that expresses the extent to which two variables are linearly related (meaning they change together at a constant rate). It's a common tool for describing simple relationships without making a statement about cause and effect.
click to edit
Causation
Causation indicates that one event is the result of the occurrence of the other event; i.e. there is a causal relationship between the two events. This is also referred to as cause and effect.
Regression and Regression Line
Regression is a statistical method used in finance, investing, and other disciplines that attempts to determine the strength and character of the relationship between one dependent variable (usually denoted by Y) and a series of other variables (known as independent variables).
click to edit
Extrapolation
Extrapolation is a statistical technique aimed at inferring the unknown from the known. It attempts to predict future data by relying on historical data, such as estimating the size of a population a few years in the future on the basis of the current population size and its rate of growth
Interpolation
Interpolation is a statistical method by which related known values are used to estimate an unknown price or potential yield of a security. Interpolation is achieved by using other established values that are located in sequence with the unknown value.