Lecture note -2 Regression Analysis

Abstract

Regression analysis is a fundamental statistical technique used in data science, economics, finance, healthcare, and other fields to model relationships between variables. This lecture note provides a comprehensive introduction to regression analysis, covering its definition, importance, and various models, including simple and multiple linear regression, logistic regression, and specialized techniques such as ridge, lasso, and time series regression. Key assumptions, diagnostic techniques, and model evaluation metrics are discussed to ensure robust and reliable analysis. Practical applications of regression analysis are also illustrated with real-world examples, emphasizing its role in predictive modeling, decision-making, and hypothesis testing. Mastering regression techniques equips researchers and professionals with the necessary tools to extract meaningful insights from data and improve forecasting accuracy across various disciplines.

Keywords: Regression, Statistics, Quantitative research design, Marketing, Lecture notes