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Linear Fit Book Description:
This
Microworld develops tools for solving discrete models that
depend upon proportionality. Typically what happens in such
models is that some parameters or their powers are proportional
to each other. The problem then reduces to determining a
suitable line y = kx that fits the (modified) data best
so that the constant k of proportionality can be determined.
This can be done either manually, as suggested in Giordano's
book on mathematical modeling, or one can apply the method
of least squares. Regression lines do not help since a regression
line may turn out to be of the form y=mx+c where c is not
zero. This book lets the user find the constant of proportionality
both manually as well as using the method of least squares.
Besides two built in examples of models, there are three
examples suggested to the user with enough hints. All examples
are taken from Giordano's book on Modeling Theory.
Scroll down to enter this 4-page Microworld.
