Andrzej Wierzbicki
Linear Least Squares Regression Sidney H. Young, University of South Alabama Andrzej Wierzbicki, University of South Alabama	Linear least-squares regression is the workhorse mathematical tool of the physical chemistry laboratory. This Mathcad worksheet and its accompanying data files demonstrate various implicit and explicit methods for determination of slope and intercept of a regressed line.
Non-Linear Least Squares Regression Sidney H. Young, University of South Alabama Andrzej Wierzbicki, University of South Alabama	Nonlinear least-squares regression is often required in the physical chemistry laboratory. It is especially important for fitting functions that cannot be linearized. This template demonstrates various implicit and explicit methods for determining the parameters of the regressed curve obtained by nonlinear curve-fitting.