This document introduces various types of correlation. Correlation refers to the relationship between two or more variables. There are positive and negative correlations. Positive correlation means that as one variable increases, the other also increases, while negative correlation means that one variable increases as the other decreases. Other types discussed include simple, partial, and multiple correlation. Linear correlation means the ratio of change between variables is constant, while non-linear correlation means the ratio of change is not constant. Examples are provided for each type of correlation.

1. TOPIC : INTRODUCTION OF
CORRELATION
PRESENTED BY: MEHARLEEN KAUR
PUPIL-TEACHER ROLL NO. : 26

2. MEANING OF
CORRELATION
Correlation means to find out the
relationship between two or more variables.
Examples:
Price and Demand,
Height and Weight,
Temperature and Demand for soft drinks

3. TYPES OF
CORRELATION :
1. POSITIVE CORRELATION
2.NEGATIVE CORRELATION
3.SIMPLE CORRELATION
4.PARTIAL CORRELATION
5.MULTIPLE CORRELATION
6.TOTAL CORRELATION
7.LINEAR CORRELATION
8.NON LINEAR CORRELATION

4. POSITIVE CORRELATION
• A positive correlation
exists when one variable
decreases as the other
variable decreases, or one
variable increases while
the other increases
• A positive correlation is a
relationship between two
variables that tend to
move in the same
direction.
• Example : Salary and
Expenditure

5. NEGATIVE CORRELATION
• Negative correlation is a
relationship between two
variables in which one
variable increases as the
other decreases, and vice
versa.
• Negative correlation
describes when two
variables tend to move in
opposite direction.
• Example : Price of an
article and its Demand

6. SIMPLE CORRELATION
• When we study the association
between two variables it is called
Simple Correlation .

7. • PARTIAL CORRELATION
When we study the association
between two variables only while
there are given more than two
variables .
Example :
Given variables x,y,z
We take only x & y ignoring z OR
We take only y & z ignoring x OR
We take only x & z ignoring y OR
• MULTIPLE
CORRELATION
When we are given more than
two variables and we study
association between one variable
and other variables together .
Example :
Given variables x,y,z
We study association between
X & Y together
Or Y & Z together

8. LINEAR CORRELATION &
NON-LINEAR CORRELATION
• Correlation is said to be linear if
the ratio of change is constant
between the two variables .
• Example :
When the amount of output in
a factory is doubled by doubling
the number of workers, this is
an example of linear
correlation.
• Correlation is said to be non-
linear if the ratio of change is
not constant between the two
variables .

9. Thankyou