05/01/2026
🔰Concept of Correlation (Economics / Statistics)🔰
Correlation means the relationship between two variables—how one variable changes in response to a change in another.
👉 It shows direction and degree of relationship, not cause and effect.
✍🏻Definition✍🏻
Correlation is a statistical measure that shows how strongly two variables are related to each other.
🔹Types of Correlation🔹
✳️Positive Linear Correlation
✳️Negative Linear Correlation
✳️No Correlation
✳️Non-Linear Correlation
✳️Positive Linear Correlation
👉 Both variables move in the same direction.
▪️When X increases, Y also increases
▪️Points move upward from left to right
🔹Example (Economics):
Income ↑ → Consumption ↑
✳️Negative Linear Correlation
👉 Variables move in opposite directions.
▪️When X increases, Y decreases
▪️Points move downward from left to right
🔹Example (Economics):
Price ↑ → Quantity demanded ↓
✳️No Correlation
👉 No relationship between variables.
▪️Change in one variable does not affect the other
▪️Points are randomly scattered
🔹Example:
Height and intelligence
✳️Non-Linear Correlation
👉 Relationship exists but not in a straight line.
▪️Variables change, but not at a constant rate
▪️Points form a curve
🔹Example (Economics):
Stress and productivity (after a level, productivity falls)
🔰Degree of Correlation🔰
♦️Perfect correlation: +1 or –1
♦️High correlation: Close to +1 or –1
♦️Low correlation: Close to 0
♦️Zero correlation: 0
🌐Correlation Coefficient (r)🌐
✅ Value lies between –1 and +1
✅ r = +1 → Perfect positive correlation
✅ r = –1 → Perfect negative correlation
✅ r = 0 → No correlation
♻️▪️Importance of Correlation▪️♻️
🔹Helps in economic analysis
🔹Useful for forecasting
🔹Shows relationship between economic variables
🔹Helps in decision-making
♦️Limitations♦️
◼️Does not show cause and effect
◼️Only measures relationship
◼️Can be misleading sometimes
✍🏻One-Line Example for Exams✍🏻
Correlation shows the relationship between price and deman
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