Linear regression-Types of Linear Regression, Evaluation & Assumptions of Linear Regression
#linearregression
This video explains about Linear regression-Types of Linear Regression, Equation, Evaluation & Assumptions of Linear Regression
Linear Regression is a statistical model that estimates the relationship between independent variables and dependent variables.
Regression lets the researchers predict or explain the variation in one variable based on another variable.
Types of Linear Regression:
Linear Regression is of Two types:
1. Simple Linear Regresision
2. Multiple Linear Regression
Simple Linear Regression examines the influence of an independent variable on the dependent variable, whereas multiple linear regression is used for examining the influence of several independent variables.
Regression can be used for,
1. Determining strength of predictors
2. Forecasting an effect
3. Trend Forecasting
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