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Types of Correlation

types-of-correlation


The discuss and look into different types of correlation.

 

 

1 – What is Correlation

 

2 – Types of Correlation

 

3 – Pearson’s  Correlation

 

4 – Spearman Rank Correlation

 

 

1 – What is Correlation

 

correlation refers to a statistical relationship between the two entities.

 

to which two variables are linearly related.

 

for example

 

the increase in the height of the children is accompanied often by the increase in weight.

 

the value of the correlation always lies between minus one two plus one.

 

 

 

2 – Types of Correlation

 

There are mainly three categories of correlation.

 

1 - Positive Correlation and Negative Correlation

 

2 - Linear and Non-Linear Correlation and

 

3 - Simple, Multiple and Partial Correlation

 

 

 

1 - Positive Correlation and Negative Correlation

 

Positive correlation

 

A positive correlation means that a linear relationship is positive and the two variables increases or decreases in the same direction as you

 

for example

 

the calories you burn is directly proportional to the amount of time you run on a treadmill.

 

 

Negative correlation

 

negative correlation is just the opposite the relationship line has a negative slope and the variable changes in the opposite direction that is one variable decreases while the other increases.

 

an example

 

can be a student who has many absence has a decreasing grades.

 

 

2 - Linear and Non-Linear Correlation

 

Linear Correlation

 

when we change the value of a variable which leads to a constant ratio change in other variable then that relation is said to be linear.

 

for example

 

the factory doubles its output by doubling the number of workers

 

Non-Linear Correlation

 

Correlation is said to be non-linear when the amount of change in one variable is not in constant ratio to the change in the other variable.

 

for example

 

the change in radius of the sphere and the change in volume of the same sphere does not happen to be in the same ratio.

 

3 - Simple, Multiple and Partial Correlation

 

Simple Correlation .

 

When studying the relationship between the variables when only two variables are involved the correlation is said to be simple.

 

Multiple Correlation .

 

the multiple correlation we measure the degree of association between one variable on the one side and all the variables together on the other side.

 

Partial Correlation .

 

The partial correlation we study the relationship of one variable with one of the other variables presuming that all the variables remains constant.

 

 

now that we know all the types of  correlation

 

 

3 – Pearson’s  Correlation (PSS Correlation)

 

 

pss correlation coefficient is the test statistics that measures the statistical relationship between the two continuous variables.

 

the ps's correlation coefficient is often denoted by r and the formula to calculate the psense relation coefficient is sigma x i minus x bar into y i minus y bar divided by under root sigma x i minus x bar whole square and y i minus y bar whole square.

 

but r is the coefficient of correlation x y is the mean of x variable and y bar is the mean of y variable and x i and yy denotes the samples of variable x and y respectively.

 

the psl's coefficient coefficient is the best method to measure the association between two variables of interest because,

 

it gives information about the magnitude of the association or correlation as well as the direction of the relationship between the two variables

 

4 – Spearman Rank Correlation (psn rank correlation)

 

This psn rank correlation is used to discover the strength of a link between the two sets of data.

 

The formula to calculate this psn rank correlation coefficient is rho is equal to 1 minus 6 sigma di whole square divided by n bracket n square minus 1.

 

Where rho is this ps1 rank correlation coefficient di is the difference between the two ranks of each observations and n is the number of observations.

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