Ordinary regression analysis is based on several statistical assumptions. One key assumption is that the errors are independent of each other. However, with time series data, the ordinary regression ...

Analysis of variance (ANOVA) is a statistical analysis tool that separates total variability found within a data set into two components: random and systematic factors.

Abstract: Assumptions play a pivotal role in the selection and efficacy of statistical models, as unmet assumptions can lead to flawed conclusions and impact decision-making. In both traditional ...

Logistic regression is a powerful statistical method that is used to model the probability that a set of explanatory (independent or predictor) variables predict data in an outcome (dependent or ...

Classes: Lectures are on Mondays 2.30 to 4.20 in BLU10021 and Wednesdays 2.30 to 3.20 in C9000. Tutorials start 2nd week of class. Required textbook: “Introduction to Econometrics” by J. Stock and M.

In today's data-driven world, statistical analysis plays a critical role in uncovering insights, validating hypotheses, and driving decision-making across industries. R, a powerful programming ...