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How to Calculate the Correlation using the Data Analysis Toolpak in Microsoft Excel is Covered in this Video (Part 1 of 2).

Correlation in Excel
Data Analysis Toolpak
Pearson's r in Excel
Statistics in Excel

Video Transcript:
In this video we'll take a look at how to calculate the correlation coefficient in Microsoft Excel. Now on your screen here we have two variables hours studied and that indicates the number of hours studied for an exam and then exam grade which is just a percentage grade on an exam. Now we want to calculate the correlation between these two variables to see if there's a relationship there. So do that we want to go to Data and then select Data Analysis and here we want to select Correlation and then click OK and then for Input Range what we want to do here is select all of our values and I'm going to go ahead and select the variable names as well. So click the mouse and hold the mouse button down and select all the cells there and I want to be sure since I did select the variable names or labels that I check the Labels in First Row box then click OK and then here I'm going to go ahead and expand this a little bit because it's quite small and then we'll go and round this down as well. OK so that's our correlation. I can also put it right here it's the same thing so let's take a look at what this is here. So the correlation between exam grade and our study is .86 so we could say r for Pearson's r equals .86. Now that indicates a very strong positive correlation between number of hours studied and the grade on the exam. So in other words the way we would interpret a positive correlation is people who studied more hours tended to do better on the exam and people who studied fewer hours tended to do worse on the exam. Now the relationship isn't perfect but it is very strong in this example. Now in our next video we'll test this value .86 to see whether it's significantly different from zero.

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