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Bivariate - Coggle Diagram
Bivariate
Multivariate data
Multivariate data analysis is a type of statistical analysis that involves more than two dependent variables, resulting in a single outcome. Many problems in the world can be practical examples of multivariate equations as whatever happens in the world happens due to multiple reasons.
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Bivariate 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.
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Categorical Variables
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A categorical variable (also called qualitative variable) refers to a characteristic that can't be quantifiable. Categorical variables can be either nominal or ordinal.
Continuous Variables
Continuous variable is defined as a variable which can take an uncountable set of values or infinite set of values. For instance, if a variable over a non-empty range of the real numbers is continuous, then it can take on any value in that range.
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Response Variables
Response Variable is the result of the experiment where the explanatory variable is manipulated. It is a factor whose variation is explained by the other factors. Response Variable is often referred to as the Dependent Variable or the Outcome Variable.
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Correlation
Correlations are useful for describing simple relationships among data. For example, imagine that you are looking at a dataset of campsites in a mountain park. You want to know whether there is a relationship between the elevation of the campsite (how high up the mountain it is), and the average high temperature in the summer.
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Extrapolation
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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 process of determining the unknown values that lie in between the known data points. It is mostly used to predict the unknown values for any geographical related data points such as noise level, rainfall, elevation, and so on.
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Discrete Variables
Discrete variable is a variable that takes on distinct, countable values
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
