Regression
ICSE · Class 11 · Artificial Intelligence
Summary of Regression for ICSE Class 11 Artificial Intelligence. Key concepts, important points, and chapter overview.
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Overview
Regression analysis is a statistical method used to analyze and understand the relationship between dependent and independent variables. It was developed by Sir Francis Galton in 1877 to measure the relationship of height between parents and their children. Regression is used for prediction and fore
Key Concepts
Regression analysis is a statistical method
Regression analysis is a statistical method that helps analyze and understand the relationship between two or more variables of interest. It is used t
The dependent variable is the variable
The dependent variable is the variable that is being understood or forecast. It is denoted by y and must be of a continuous data type for regression t
Independent variables are the factors
Independent variables are the factors that influence the dependent variable. They are denoted by x and can be continuous, nominal, or categorical.
Simple linear regression models the relationship
Simple linear regression models the relationship between one independent variable and one dependent variable using a linear equation. The basic form i
Multiple linear regression extends simple linear
Multiple linear regression extends simple linear regression by using more than one independent variable. Its form is y = a + b1x1 + b2x2 + ... + bnxn.
Learning Objectives
- Understand the concept of regression analysis
- Learn the working of regression
- Learn the types of regression
- Know the basics of linear regression
- Understand regression coefficient and regression line
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