Texas Instruments TI-84 PLUS SILV Guidebook - Page 209
QuartReg-ax, LinReg-a+bx, LnReg-a+b lnx, ExpReg-ab
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QuartReg-(ax4+bx3+cx2+ dx+e) QuartReg (quartic regression) fits the fourth-degree polynomial y=ax4+bx3+cx2+dx+e to the data. It displays values for a, b, c, d, and e; when DiagnosticOn is set, it also displays a value for R2. For five points, the equation is a polynomial fit; for six or more, it is a polynomial regression. At least five points are required. QuartReg [Xlistname,Ylistname,freqlist,regequ] LinReg-(a+bx) LinReg(a+bx) (linear regression) fits the model equation y=a+bx to the data using a least-squares fit. It displays values for a (y-intercept) and b (slope); when DiagnosticOn is set, it also displays values for r2 and r. LinReg(a+bx) [Xlistname,Ylistname,freqlist,regequ] LnReg-(a+b ln(x)) LnReg (logarithmic regression) fits the model equation y=a+b ln(x) to the data using a leastsquares fit and transformed values ln(x) and y. It displays values for a and b; when DiagnosticOn is set, it also displays values for r2 and r. LnReg [Xlistname,Ylistname,freqlist,regequ] ExpReg-(abx) ExpReg (exponential regression) fits the model equation y=abx to the data using a least-squares fit and transformed values x and ln(y). It displays values for a and b; when DiagnosticOn is set, it also displays values for r2 and r. Chapter 12: Statistics 202