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In a linear model, the effect of a change in the independent variable is the same at all levels of the independent variable.
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The true line and a regression line.
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Least squares regression illustrated. Least squares regression with true line with 0 slope.
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Bias concept illustrated
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Efficiency comparison between connect-the-end-points and least
squares regression.
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Students' eyeball lines and least squares lines compared
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Normal distribution of the error illustrated, using
discreet values of X..
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Normal distribution of the error illustrated, using continuous values
of X.
Scatter of points from log(Y)=log(A)+b log(X)+normal error
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Random error can produce a Type I error
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Queue simulation
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Queue simulation for live demonstration