Simple linear regression

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Simple linear regression

A regression analysis between only two variables, one dependent and the other explanatory.

Simple Linear Regression

In statistics, the analysis of variables that are dependent on only one other variable. Regression analysis uses regression equations, which shows the value of a dependent variable as a function of an independent variable. For example, a simple regression equation could take the form:

y = a + bx

where y is the dependent variable and x is the independent variable. In this case, the slope is equal to b and a is the intercept. When plotted on a graph, y is determined by the value of x. Regression equations are charted as a line and are important in calculating economic data and stock prices. See also: Multiple regression.
References in periodicals archive ?
To the extent that we trust simple linear regressions for short periods as representations of cause and effect in labor-management-state interactions, Borrel's statistical results give some comfort to conventional expectations that unemployment dampens strike activity, while price increases, worker mobilization, and left political power promote it.