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Correlation Matrix Using Excel

In a heated argument, the regression shouted at correlation, “You are dumbass, you don’t even know the cause and effect  of this argument”  

Correlation is used to measure strength of the relationship between two variables. It can be positive, negative or zero.

Positive Correlation :  Both variables tend to move in the same direction: If one variable increases, the other tends to increase. If one decreases, the other tends to decrease.

Negative Correlation :  Both variables tend to move in the opposite directions: If one variable increases, the other tends to decrease, and vice-versa.

Note: The correlation coefficient may take on any value between +1 and -1.

Examples
1: How are sales of ABC Company and GDP related?
2: How are annual returns on Treasury Bills and Bonds related?

Suppose you would like to know whether there is a relationship between grades and number of hours you spend studying.

You can download the workbook used in this example and practice what you learn.

Using Excel:

1. If you haven’t already installed the Analysis ToolPak , Click the Microsoft Office button, then click on the Excel Options , and then select Add-Ins , Click Go, check the Analysis ToolPak box, and click Ok.  How to Install Analysis ToolPak

2. Select Data tab, then click on the Data Analysis option, then selects Correlation from the list and Click Ok[Data tab >> Data Analysis >> Correlation]

3. Select the data range (both independent and dependent variable) in the Input Range box.

4. Check Labels in first row and enter range in the Output Range box and Click on Ok.



Interpretation: 
As you see the correlation between the grades and number of hours you spend studying is a very positive correlation (84%). This means as more number of hours students study their grades improve.
You can accomplish the same task using CORREL function.



Syntax:
=CORREL (range1, range2)
For the above problem the syntax would be =CORREL(OFFSET($A$2:$A$500,,ROWS($1:1)-1),OFFSET($A$2:$A$500,,COLUMNS($A:A)-1))
For a detailed explanation of this formula , visit this link Formula Explained:Correlation Matrix

Do You Know? 
How to deal with outliers when doing correlation?
Solution: Look at the residuals from a regression by plotting the points to a scatter diagram. If they are not normally distributed around 0 the realibility of the Pearson correlation could be unreliable.
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