Texas Instruments TI-84 PLUS Guidebook - Page 208
LinReg ax+b, QuadReg ax, CubicReg-ax, is set, it also displays a value
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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. CubicReg [Xlistname,Ylistname,freqlist,regequ] Chapter 12: Statistics 201