Linear Regression
A classic statistical problem is to try to determine the relationship between
two random
variables X and Y. For example, we might consider height
and weight of a sample of adults.
Linear regression attempts to explain this relationship with a straight
line fit to the data.
The linear regression model postulates that
Y= a+bX+e
Where the "residual" e is a random variable with mean
zero. The coefficients a and b are determined by
the condition that the sum of the square residuals is as small as possible.
The applet:
This applets let you mark the locations of order pairs (X, `Y),
and then determines the equation
of the regression line and graphs it.
The source code:
RegressionApplet.java
RegressionCanvas.java
RegressionControlPanel.java
PlotPoint.java
ResidualCanvas.java
Xcanvas.java
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