TI-83 Plus Statistics 359
LinReg (ax+b)
LinReg(ax+b) (linear regression) fits the model equation y=ax+b to the data
using a least-squares fit. It displays values for a (slope) and b (y-intercept);
when DiagnosticOn is set, it also displays values for r2 and r.
LinReg(ax+b) [Xlistname,Ylistname,freqlist,regequ]
QuadReg (ax2+bx+c)
QuadReg (quadratic regression) fits the second-degree polynomial
y=ax2+bx+c to the data. It displays values for a, b, and c; when
DiagnosticOn is set, it also displays a value for R2. For three data points,
the equation is a polynomial fit; for four or more, it is a polynomial
regression. At least three data points are required.
QuadReg [Xlistname,Ylistname,freqlist,regequ]
CubicReg—(ax3+bx2+cx+d)
CubicReg (cubic regression) fits the third-degree polynomial
y=ax3+bx2+cx+d to the data. It displays values for a, b, c, and d; when
DiagnosticOn is set, it also displays a value for R2. For four points, the
equation is a polynomial fit; for five or more, it is a polynomial regression.
At least four points are required.