This course introduces linear regression and Ordinary Least Squares (OLS). Learn to develop linear models with one or more predictors, optimize model parameters and assess model performance using Excel’s built-in tools.
The Logistic regression is a nonlinear regression model that enables predictions of the probability of observing an outcome, including a binary result (e.g. YES/NO, ON/OFF). Because of this, it is also used as a classification method. This course introduces the steps required to develop a model using logistic regression, with examples using Excel and SOLVER.