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 ?
The regression equation of absorbed CP according to CP intake to estimate metabolic fecal CP is shown in Figure 3.
A threshold field is then added to the flowline table and the pruning threshold is calculated by the regression equation.
Method 2: The 70 retrieved psittacine bird blood smears were used to determine a regression equation to estimate the WBC count obtained in the laboratory with the RBC : WBC ratio obtained from CP and the PCV.
A stratified sampling method was used to develop and test the regression equation.
Equation (1) is the most general variant of the regression equation.
In a multivariate logistic regression equation that explained 43% of the variance in executive function, an infarct location in the cortical gray matter and educational level were the only significant predictors.
i] equals zero, then the regression and the selection equations are independent and estimates based on the regression equation do not suffer from sample selection bias.
1) Technical skill: From the results we know that four variables enter into the regression equation.
Predicting modulus of elasticity (y) with different variables (x) individually Variable (x) Regression equation [R.
0]), a regression equation with 4 variable factors and 20 regression coefficients was composed:
Period-wise rates of growth by applying the regression equation in terms of linear (y = a+bt) and the semilogarithmic form (Log y + a +bt) have been portrayed in Table -8 and Table -9.
In the meanwhile, quadratic polynomial regression equation of the surface of abdomen in the cross section (x=15.