Multiple Regression with Three Independent Variables
and One Dependent Variable


  This page will perform a basic multiple regression analysis for the case where there are three independent or predictor variables, X1, X2, and X3, 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 "X1X3," "X1Y," and so on, and type in the values of r for the correlations between X1 and X3, X1 and Y, and so on. 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.

X1
X2
X3
Y
X1




X2




X3




Y




     

X1
X2
X3
B



B x rxy



B = standardized regression weight
R2 =

R2 = total proportion of Y variance accounted
for by the combination of X1, X2, and X3.

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©Richard Lowry 1998-2002
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