Correlation
Topic: Economic Data: Census, NSS, Surveys and Statistical Tools · NCERT: Class 11, Ch 6 "Correlation"; Class 11, Ch 8 "Use of Statistical Tools"
Meaning
Correlation studies whether two variables move together. It measures the direction of the relationship and how strong it is.
- Positive correlation: both variables rise and fall together.
- Negative correlation: one rises as the other falls.
Karl Pearson's coefficient r = Cov(X,Y) / (σx·σy). Here σx and σy are the standard deviations of X and Y.
The value of r:
- lies between −1 and +1, where ±1 is perfect correlation;
- has no units;
- measures only straight-line (linear) relationships.
It measures covariation, not cause and effect.
Example
For a group of farmers, NCERT relates years of schooling to yield per acre. The result is r = 0.644, a fairly strong positive link. Another example: the price of apples and the demand for them are negatively correlated.
Don't confuse with
- Causation: a high r does not prove that one variable causes the other.
- Independence: r = 0 means only that there is no linear relation. For example, if Y = X² for X from −3 to 3, then r = 0, even though Y depends fully on X.
Related concepts
- Measures of central tendency
- Arithmetic mean
- Weighted arithmetic mean
- Median
- Quartiles
- Decile
- Percentiles
- Mode
- Bimodal and multimodal distribution
- Modal class