Understanding Confidence Levels in Regression Analysis

Confidence Levels in Regression

Introduction

Regression analysis is a powerful statistical technique used to explore and quantify relationships between variables. When conducting regression analysis, it's essential to evaluate the reliability of the results and the certainty in the estimated coefficients. This is where confidence levels come into play. Confidence levels provide a measure of the degree of certainty associated with the estimated parameters in a regression model. In this comprehensive article, we will delve into the concept of confidence levels in regression analysis, their importance, how to calculate them, and their interpretation in practical terms.