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Maps - Coggle Diagram
Maps
Multivariate Data
Multivariate data analysis is a type of statistical analysis that involves more than two dependent variables, resulting in a single outcome
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Categorical Variables
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.
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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.
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.
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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.
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