ICSE Class 12 Mathematics | 9. Linear Regression by Abraham | Learn Smarter
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9. Linear Regression

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Sections

  • 1

    Linear Regression

    Linear regression is a predictive technique used to estimate one variable based on another, analyzing the linear relationship between two variables.

  • 1.1

    Introduction

    Linear Regression allows us to estimate one variable from another, helping in predictive analysis.

  • 1.2

    Key Concepts

    This section outlines fundamental concepts of linear regression, including free and dependent variables, regression lines, and core formulae essential for making predictions.

  • 1.3

    Formulae

    The section introduces key formulae and concepts related to regression analysis, providing the foundation for predicting one variable from another.

  • 1.4

    Step-By-Step Procedure

    The section outlines the step-by-step procedure for performing linear regression analysis.

  • 1.5

    Important Notes

    This section highlights crucial aspects of linear regression, including special cases and the intersection of regression lines.

  • 1.6

    Applications Of Linear Regression

    Linear regression is a predictive technique used to estimate one variable based on another, with various applications across fields such as economics and education.

  • 1.7

    Summary

    This section summarizes the key concepts of Linear Regression, emphasizing the relationship between dependent and independent variables, the regression line, and its applications.

Class Notes

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