======================================================================== || Electronic Proceedings of the Eighth Annual || || International Conference on Technology in Collegiate Mathematics || ======================================================================== CONTRIBUTED PAPER: 8-C91 Modelling with the TI-85 Neil Eklund Centre College 600 W. Walnut Danville, KY 40422-1394 Phone: (606) 238-5405; Fax: (606) 236-9610 E-mail: eklund@centre.edu ABSTRACT If the overdetermined system of equations is written in the form Xa = y where a is the vector of unknown coefficients, the normal equations for a are (XTX)a = XTy. Under appropriate conditions XTX is invertible as well as symmetric and, hence, a = (XTX)-1XTy. The least squares error is shown to be E = yT{I - X(XTX)-1XT}y. This modelling technique will be applied to non-linear data. Mathematical Notation: X is a matrix a is a vector y is a vector (XTX) is the product of X transpose with X XTy is the product of X transpose with the vector y (XTX)-1XTy is the product of the inverse of (XTX) times X transpose times the vector y yT{I - X(XTX)-1XT}y is the product of y transpose with { } times the vector y {I - X(XTX)-1XT} is the identity minus X times the inverse of (XTX) times X transpose