Now, let’s see how to calculate this correlation coefficient in Excel. ![]() Note: There are different types of correlation coefficients and statistics, but in this tutorial, we’ll be looking at the most common one which is the Pearson correlation coefficient 8 would indicate that the height and weight data are strongly correlated. The closer the value is to 1, the stronger is the positive correlation. If we calculate the correlation coefficient for the height and weight data for these people, we will get a value between -1 and 1.Ī value less than zero indicates a negative correlation, which means that if the height increases then the weight decreases, or if the weight increases at then the height decrease.Īnd a value more than zero indicates a positive correlation, which means that if the height increases then the weight increases, and if the height decreases then the weight decreases. Since this is not a statistics class, let me briefly explain what is the correlation coefficient, and then we’ll move on to the section where we calculate the correlation coefficient in Excel.Ī correlation coefficient is a value that tells you how closely two data series are related.Ī commonly used example is the weight and height of 10 people in a group. ![]() ![]() Calculating the Correlation Coefficient Using Data Analysis Toolpak.Calculating Correlation Coefficient in Excel.
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