correlation can help us identify relationships between variables, it does not imply causation.

1. The Correlation
Correlation is a statistical measure of the relationship between two
variables. It tells us how strongly the variables are related to each other.

2. Examples of correlation in real life
• correlation between the number of hours of sleep a student gets and
their test scores.
• correlation between the amount of time a student spends watching
TV and their grades.

3. Relation between correlation
and scatterplot

4. Types of correlation
There are three main types of correlation:
1-Positive correlation means that the variables move in the same direction.
As one variable increases, the other variable also increases. For example,
there is a positive correlation between height and weight. Taller people
tend to be heavier.
2-Negative correlation means that the variables move in opposite
directions. As one variable increases, the other variable decreases. For
example, there is a negative correlation between the amount of time spent
studying and the number of mistakes made on a test. The more time you
spend studying, the fewer mistakes you are likely to make.
3-Zero correlation means that there is no relationship between the
variables. The variables do not move together in any way. For example,
there is a zero correlation between the amount of tea drunk and the level
of intelligence. These two things are not related at all.

5. How to measure the degree of correlation
between two variables
The Pearson Correlation Coefficient formula is as follows:

6. Determining the Strength of Linear
Correlation Using Pearson’s Correlation
Coefficient