This course is an introduction to Econometrics focused on the classical linear regression model; with a balance of theory and applications. We begin with a review of statistical basis of Econometrics followed by examinations of each of the assumption of the classical model, consequences of their violation and the available remedies. Time-permitting, additional topics covered are Serial Correlation, Instrumental Variables and Qualitative dependent Variables. Each topic examined theoretically will be followed by a practice session in a computer lab-class with application to a real world data set. After talking this course, students should be able to: 1 Manipulate economic data sets. 2 Diagnose certain problems with linear models and know how to remedy them 3 Have a working knowledge of the classical linear regression model and its applicability. 4. Be able to apply the classical linear model to data using computer software. Pre-requisite: LMTH 2025 Statistics for Social Sciences or LMTH 2030 Statistics with SPSS