Multiple Regression with Two Independent Variables
and One Dependent Variable
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This page will perform a basic multiple regression analysis for the case where there are two independent or predictor variables, X1 and X2, and one dependent or criterion variable, Y. To proceed, double click in the cell labeled "X1X2" and type in the value of r for the correlation between X1 and X2. Then double click in the cells labeled "X1Y" and "X2Y," and type in the values of r for the correlations between X1 and Y and X2 and Y. The mirror-image values of r in the cells below the diagonal line of "1.0" entries will be entered automatically. A negative value of r should be preceded by a minus sign: e.g., -.76 . Do not enter a plus sign; all entered values are assumed to be positive unless preceded by "-".
After all values of r have been entered, click the "Calculate" button. To perform a new analysis with a different set on intercorrelations, click the "Reset" button.
R2 = total proportion of Y variance accounted
|B = Standardized|
|B x rxy
for by the combination of X1 and X2.
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©Richard Lowry 1998-1999
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