Regression Analysis

Regression analysis is a statistical method used for estimating the relationships among variables. It helps in understanding how the dependent variable changes when one or more independent variables are varied while other variables are held constant. The primary goal of regression analysis is to model the expected value of a dependent variable based on the known values of independent variables.In simple linear regression, the relationship is modeled as a straight line, whereas multiple regression allows for the analysis of multiple independent variables simultaneously. Regression analysis can be used for prediction, inference, and hypothesis testing, making it a crucial tool in sectors such as economics, biology, and social sciences.It involves fitting a regression equation to the data and assessing the strength of the relationships, typically using metrics such as R-squared to determine how well the independent variables explain the variability of the dependent variable. Overall, regression analysis is fundamental for understanding relationships in data and making informed decisions based on statistical evidence.