
In a linear model, the effect of a change in the independent variable is the same at all levels of the independent variable.

The true line and a regression line.

Least squares regression illustrated. Least squares regression with true line with 0 slope.

Bias concept illustrated

Efficiency comparison between connecttheendpoints and least
squares regression.

Students' eyeball lines and least squares lines compared

Normal distribution of the error illustrated, using
discreet values of X..

Normal distribution of the error illustrated, using continuous values
of X.
Scatter of points from log(Y)=log(A)+b log(X)+normal error

Random error can produce a Type I error

Queue simulation

Queue simulation for live demonstration