Regression (TI 82)

Goal: We wish to determine a "closest" function of a given form to the points represented by a list of ordered pairs (the data points).

Preliminaries:We will proceed with an example that finds the best fit to our data points in the form of a 3rd degree polynomial.

Assume that the data is represented in two lists. The first list, L1, contains the x-coordinates (in order) of our data points and the second list, L2, contains the y-coordinates.

Step by step method:

• STAT/EDIT/1:EDIT
• Fill L1 and L2 as lists of x and y values (use delete to remove extra, previously stored elements.)
• STAT/CALC/7:CubicReg (ENTER)
• Read off coefficients
• "Y="/VARS/5:Statistics/Eq/7:RegEq places regression equation in Y1

Remark: Other function forms are available at the point where CubicReg is chosen.

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