1. Excel Modeling Non Linear Regression Anchored By: Renu Rao Kaveh Saba

2. Features of Solver Solver can optimize the value in the target cell by varying the adjustable cells. Cells are related by a given model equation, which is then used to find predicted values.

3. NonLinear Regression Two-variable nonlinear regression 3 components:  Experimental Data  A model equation to follow to get predicted values  Initial guesses for variables values.

4. In the Excel Spreadsheet… Column 1: Independent variables from experimental data Column 2: Values measured for the dependent variables Column 3: Predicted values using the model equation 2 initial guesses for variables

5. Reaction Rate Example from Text Given: Rate constant (k) at various temperatures (T) Need to determine Activation Energy (E) and frequency factor (A) Fit to Arrhenius equation  k(T) = Ae −E / RT

6. Initial Excel Setup

12. Thank You for viewing our presentation! Renu and Kaveh