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Simple linear regression is a statistical method used to model the linear relationship between an independent variable and a dependent variable.
In statistics, 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. [1] It is a specific but very common case of multivariate data.
The numbers of the males, females, and right- and left-handed individuals are called marginal totals.The grand total (the total number of individuals represented in the contingency table) is the number in the bottom right corner.
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Univariate is a term commonly used in statistics to describe a type of data which consists of observations on only a single characteristic or attribute. A simple example of univariate data would be the salaries of workers in industry. [1]