Texas Instruments voyage 200 User Manual - Page 546

Calc Type OneVar TwoVar CubicReg ExpReg LinReg LnReg Logistic MedMed Description One-variable statistics - Calculates the statistical variables. Two-variable statistics - Calculates the statistical variables. Cubic regression - Fits the data to the third-order polynomial y=ax3+bx2+cx+d. You must have at least four data points. • For four points, the equation is a polynomial fit. • For five or more points, it is a polynomial regression. Exponential regression - Fits the data to the model equation y=abx (where a is the y-intercept) using a leastsquares fit and transformed values x and ln(y). Linear regression - Fits the data to the model y=ax+b (where a is the slope, and b is the y-intercept) using a leastsquares fit and x and y. Logarithmic regression - Fits the data to the model equation y=a+b ln(x) using a least-squares fit and transformed values ln(x) and y. Logistic regression - Fits the data to the model y=a/(1+bùe^(cùx))+d and updates all the system statistics variables. Median-Median - Fits the data to the model y=ax+b (where a is the slope, and b is the y-intercept) using the medianmedian line, which is part of the resistant line technique. Summary points medx1, medy1, medx2, medy2, medx3, and medy3 are calculated and stored to variables, but they are not displayed on the STAT VARS screen. Statistics and Data Plots 546