Dr Adam Mahdi
Department of Engineering Science
This course covers multiple and logistic regression techniques. It shows how to assess the adequacy of a model using supporting graphical tools both before and after the regression, and by analysis of residuals. It explores diagnostics and corrective techniques for the four major data problems: outliers, collinearity, heteroscedasticity and non-linearity. This course covers the interpretation of coefficients and odds ratios, measures of fit, supporting graphics, and diagnostics and corrective techniques for common problems, principal components analysis, construction and interpretation of components, as well as contrasts to other techniques like item analysis.