Multiple regression is an extension of linear (OLS) regression that uses just one explanatory variable. MLR is used extensively in econometrics and financial inference.

Econometrics is the application of statistical and mathematical models to economic data to test hypotheses and predict future trends.

Discover the fundamentals of linear regression and its applications. Learn more and enhance your data analysis skills today.

Linear regression is a powerful and long-established statistical tool that is commonly used across applied sciences, economics and many other fields. Linear regression considers the relationship ...

This project presents the implementation of a multiple linear regression model on a dataset comprising economic indices. The goal is to predict index prices using multiple independent variables.

This paper attempts to provide the user of linear multiple regression with a battery of diagnostic tools to determine which, if any, data points have high leverage or influence on the estimation ...

This proof-based course focuses on an in-depth exploration of cross-sectional data environments and linear models, consolidating and building on theoretical and analytical skills learned in the Year 2 ...

The prerequisites for econometrics are basic concepts of statistical estimations including on sampling procedures, estimators, confidence intervals and hypothesis tests, non-parametric statistics ...

Discover the power of empirical likelihood diagnosis in modal linear regression models. Explore estimation equations, diagnostic statistics, and performance evaluation through simulation study.