This document discusses correlation analysis and different methods for studying correlation, including scatter diagram, Karl Pearson coefficient correlation, and Spearman's rank correlation methods. It defines the coefficient of correlation as a measure of the strength of the linear relationship between two variables based on their covariance and standard deviations. The coefficient r ranges from 1 to -1, indicating the magnitude and direction of the correlation. Strong correlations are considered r of .70 or higher and r of -.70 or lower, while weak correlations range from 0 to .30 and 0 to -.30.

1. Application of correlation

2. Correlation Analysis

3. Types of correlation

4.  Methods of studying correlation
 .Scatter Diagram Method
 .Karl Pearson Coefficient Correlation of method
 .Spearmans Rank Correlation Method

5. Coefficient of Correlation

6. • *A measure of the strength of the linear
relationship between two variables that is
defined in terms of the covariance of the
variables divided by their standard deviations
• *Represented by ‘’r’’
 *r lies between *1 to -1
 *magnitude and direction

7.  Interpreting Correlation Coefficient r
 1. strong correlation : r .70 or r < -.70
 2. weak correlation : r is between 0 and
.30 or r is between 0 and -.30.

8. Thank you