Texas Instruments TI-80 User Manual - Page 142
Xlistname, freqlistname, item 7 fits
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QUADREG LINREG (a+bX) LNREG EXPREG PWRREG QUADREG (quadratic regression, STAT CALC, item 4) fits the data to the second-order polynomial y=ax2+bx+c. It displays a, b, and c. 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 QUADREG Xlistname,Ylistname,freqlistname LINREG (a+bX) (linear regression, STAT CALC, item 5) fits the data to the model equation y=a+bx using a least-squares fit and x and y. It displays a, b, and r (correlation coefficient). LINREG (a+bX) Xlistname,Ylistname LINREG (a+bX) Xlistname,Ylistname,freqlistname LNREG (logarithmic regression, STAT CALC, item 6) fits the data to the model equation y=a+b ln(x) using a least-squares fit and transformed values LN(x) and y. It displays a, b, and r (correlation coefficient). LNREG Xlistname,Ylistname LNREG Xlistname,Ylistname,freqlistname EXPREG (exponential regression, STAT CALC, item 7) fits the data to the model equation y=abx using a least-squares fit and transformed values x and LN(y). It displays a, b, and r (correlation coefficient). EXPREG Xlistname,Ylistname EXPREG Xlistname,Ylistname,freqlistname PWRREG (power regression, STAT CALC, item 8) fits the data to the model equation y=axb using a least-squares fit and transformed values LN(x) and LN(y). It displays a, b, and r (correlation coefficient). PWRREG Xlistname,Ylistname PWRREG Xlistname,Ylistname,freqlistname Note: Calculations for v, GX, GXñ, SX, sX, w, GY, GYñ, SY, sY, and GXY are calculated using transformed values for LNREG, EXPREG, and PWRREG. 9-16 Statistics