Texas Instruments TI86 User Manual - Page 202
requires at least three data points, cubic regression Fits the third-degree polynomial y=ax
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190 Chapter 14: Statistics For regression analysis, the statistical results are calculated using a leastsquares fit. SinR and LgstR are calculated using an iterative least-squares fit. LinR LnR ExpR PwrR SinR LgstR P2Reg P3Reg P4Reg StReg (linear regression) Fits the model equation y=a+bx to the data; displays values for a (slope) and b (y-intercept) (logarithmic regression) Fits the model equation y=a+b ln x to the data using transformed values ln(x) and y; displays values for a and b (exponential regression) Fits the model equation y=abx to the data using transformed values x and ln(y); displays values for a and b; elements in the x-list and y-list elements must be integers (power regression) Fits the model equation y=axb to the data using transformed values ln(x) and ln(y); displays values for a and b (sinusoidal regression) Fits the model equation y=a¹sin(bx+c)+d to the data; displays values for a, b, c, and d; SinR requires at least four data points; it also requires at least two data points per cycle to avoid aliased frequency estimates (logistic regression) Fits the model equation y=aà(1+becx)+d to the data; displays a, b, c, and d (quadratic regression) Fits the second-degree polynomial y=ax2+bx+c to the data; displays values for a, b, and c; for three data points, the equation is a polynomial fit; for four or more, it is a polynomial regression; P2Reg requires at least three data points (cubic regression) Fits the third-degree polynomial y=ax3+bx2+cx+d to the data; displays values for a, b, c, and d; for four points, the equation is a polynomial fit; for five or more, it is a polynomial regression; P3Reg requires at least four data points (quartic regression) Fits the fourth-degree polynomial y=ax4+bx3+cx2+dx+e to the data; displays values for a, b, c, d, and e; for five points, the equation is a polynomial fit; for six or more, it is a polynomial regression; P4Reg requires at least five data points (store regression equation) Pastes StReg( to the home screen; enter a variable and press b; the current regression equation is stored to variable