|This course is about linear regression, a powerful and widely used data analysis technique. Students will learn how to use regression to analyze a variety of complex real world problems. Examples are used throughout to illustrate application of the tools. Topics covered include (i) simple linear regression; (ii) multiple regression: understanding the model, interpreting the coefficients, R-squared, t and F tests, model diagnostics, model selection; (iii) time series: autocorrelation functions, auto-regression; and (iv) binary regression
We use MATLAB throughout the course.