RESEARCH METHODOLOGY

Detailed explanation-1: -Linear regression is the most commonly used method of predictive analysis. It uses linear relationships between a dependent variable (target) and one or more independent variables (predictors) to predict the future of the target.

Detailed explanation-2: -Regression analysis is a form of predictive modelling technique which investigates the relationship between a dependent (target) and independent variable (s) (predictor). This technique is used for forecasting, time series modelling and finding the causal effect relationship between the variables.

Detailed explanation-3: -Linear regression is the most basic and commonly used predictive analysis. Regression estimates are used to describe data and to explain the relationship between one dependent variable and one or more independent variables.

Detailed explanation-4: -Linear regression is one of the most common techniques of regression analysis. Multiple regression is a broader class of regressions that encompasses linear and nonlinear regressions with multiple explanatory variables.