Quartic Regression


The quartic regression option finds the equation of a cubic equation of the form y = ax4 + bx3 + cx2 + dx + e that best fits a set of data. First, enter the data . Press



Press and use to select CALC.



Press .



Therefore, the best-fit quartic equation for this data is approximately y = -0.01x4 + 0.04x3 + 0.37x2 - 1.04x - 4.66. The TI-82 stores the regression equation. The equation can be graphed and is transfered to without typing the equation as follows. Press and use to select EQ.



Press to view the regression equation and press . The equation is now entered in . Press . The data points can also be viewed. Access STAT PLOTS by pressing to turn the plots on. Press .




Note: The resulting quartic equation is an exact fit if five noncollinear, nonparabolic, noncubic data points are entered.

The TI-82 does not calculate the correlation coefficient r or the coefficient of determination r2.