Regression equation

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Regression equation

An equation that describes the average relationship between a dependent variable and a set of explanatory variables.

Regression Equation

In statistics, an equation showing the value of a dependent variable as a function of an independent variable. For example, a regression could take the form:

y = a + bx

where "y" is the dependent variable and "x" is the independent variable. 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.
References in periodicals archive ?
Table 7 shows the prediction equations for TPA parameters as determined from regression equations using WBS.
Multivariate linear regression analysis was performed to formulate regression equation for estimation of length of femur from measurements of various fragments.
A joint evaluation of the intercept and slope coefficient of the regression Equation (observed values versus predicted BW) for Holstein and crossbred animals separately (Table 3) shows the rejection of the null hypothesis (p < 0.
Simple correlation was worked out, between the population and physio-morphic factors individually and cumulatively, by using a Multiple Linear Regression Equation.
According to regression equations (Figure 6A), there was a linear effect of the [EC.
Two-level factorial regression equations were derived for full factorial DOE [23].
Another study formulated regression equations for Saudi samples and concluded that the 50% level is a more accurate determinant for canines and premolars when both sexes are combined.
3] Sometimes, stature is difficult or cannot be measured in the living, as a result regression equations have been developed to estimate it from other anthropometric variables that are easy to obtain and are closely related to stature.