10. Correlation Analysis - ICSE 11 Maths
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10. Correlation Analysis

10. Correlation Analysis

Correlation analysis explores the relationship between two quantitative variables, quantifying how strongly they are related. Key concepts include types of correlation, graphical representation using scatter diagrams, and the calculation and interpretation of correlation coefficients. Understanding these concepts is essential for analyzing the nature of relationships between variables in various datasets.

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Sections

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  1. 10
    Correlation Analysis
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    Correlation analysis studies how two quantitative variables are related.

  2. 10.1
    Introduction
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    Correlation analysis examines the strength and direction of relationships...

  3. 10.2
    Types Of Correlation
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    This section explores the three main types of correlation: positive,...

  4. 10.2.1
    Positive Correlation
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    Positive correlation indicates a direct relationship between two variables,...

  5. 10.2.2
    Negative Correlation
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    Negative correlation occurs when one variable increases while the other...

  6. 10.2.3
    No Correlation
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    This section explores the concept of no correlation among variables, where...

  7. 10.3
    Scatter Diagram
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    A scatter diagram visually represents the relationship between two...

  8. 10.4
    Correlation Coefficient
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    The correlation coefficient is a numerical measure that quantifies the...

  9. 10.5
    Calculation Of Correlation Coefficient
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    This section outlines the methods for calculating the correlation...

  10. 10.5.1
    Using Raw Data Formulas
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    This section focuses on the methods to calculate the correlation coefficient...

  11. 10.5.2
    Using Grouped Data Formulas
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    This section explains how to calculate the correlation coefficient using...

  12. 10.6
    Interpretation Of Correlation Coefficient
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    This section explains how to interpret correlation coefficients, focusing on...

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Study Material

m11-10.pdf