MEASUREMENT OF CORRELATION
Measurement of Correlation
In Physical and Health Education, students’ performances and physical characteristics are often related in one way or another. For example, the amount of time spent training may affect performance; height may influence jumping ability; body weight may relate to speed.
To study these relationships scientifically, we use correlation.
Measurement of correlation is the statistical process of determining the degree and direction of relationship between two or more variables.
Meaning of Correlation
Correlation refers to the degree of relationship between two variables.
IMPORTANCE OF CORRELATION
1. It studies the relationship between physical variable
2. It predicts athletic performance.
3. It measures effectiveness of training
4. It evaluates student progress
5. It improves coaching decisions
6. It supports scientific research in sports and exercise
Types of Correlation
1. Positive Correlation
Positive correlation occurs when two variables move in the same direction.When one increases, the other also increases.
Examples:
Increase in training time → increase in performance
2. Negative Correlation
Negative correlation occurs when two variables move in opposite directions.when one increases, the other decreases.
Examples:
Increase in exercise → decrease in body fat
3. Zero correlation
Zero correlation occurs when there is no relationship between the variables. Change in one does not affect the other.
Example:
Shoe size and examination score
STRENGTH OF THE RELATIONSHIP
The absolute value of ‘r’ indicates the strength of the linear relationship. The closer ‘r’ is to +1 or -1, the stronger the linear relationship. The closer ‘r’ is to 0, the weaker the linear relationship.
Perfect Correlation (r = +1 or r = -1): All data points fall exactly on a straight line. This means one variable can be perfectly predicted from the other.
Strong Correlation (|r| between 0.70 and 0.99)
Moderate Correlation (|r| between 0.30 and 0.69)
Weak Correlation (|r| between 0.01 and 0.29)
No Linear Correlation (r = 0)
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