**Correlation** is a type of measure, which mainly uses to show the variation between two data. It also describes the strength and direction of two variables. People mainly use these correlation features in statistics, economics, and social sciences for getting relations in business plans, budgets, and so on. If you are facing any difficulties to do and are interested to know how to do correlation in Excel, then follow us.

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## What Is Correlation?

Correlation is a non-dimensional value. It shows us the relationship between two variables. In addition, it provides us with an indication of the relationship among those variables by evaluating and relating the variance of each variable. Correlation contains two major functions of statistical calculation. They are **Covariance** and **Standard Deviation**. The range of correlation’s value moves between **-1** to **+1**. The formula of correlation is:

Here, A and B are two different variables.

Let’s explain the whole idea with a simple mathematical example.

We have 3 values of variables **A** and **B**. The values are shown below:

Now, according to the formula calculate the value of **Covariance(A, B)**, **Std deviation of A,** and **Std deviation of B**. Put those values in the equation shown above. You will get the value of **Correlation**.

## 3 Easy Approaches to Do Correlation in Excel

For determining the value of the correlation of two variables, we are considering a dataset where the income and expanse of a person for the first 10 months are shown. The name of the months is in column **B**, and the income and the expanse are in columns **C** and **D** respectively. So, we can say that our dataset is in the range of cells **B4:D14**.

### 1. Using CORREL Function

In this method, we are going to use **the CORREL function** to calculate the value of the correlation of our dataset. Our dataset is in the range of cells **B4:D14** and the value of the correlation will be in cell **C16**. The steps of this method are given below:

**📌 Steps:**

- At first, select cell
**C16**. - Now, write down the following formula into the cell.

`=CORREL(C5:C14,D5:D14)`

- Press the
**Enter**key on your keyboard to get the result. - You will see the value correlation of our dataset is shown in cell
**C16**.

💬 **Explanation of the Value for Correlation Used in the Dataset**

The value of correlation shows us the strength of the relationship between the values of two variables. So, the value of 0.919 indicates that for every row the values are 0.919 times each other. Moreover, this value is the ratio of the covariance of both variables and the multiplication of the standard deviation of Income and the standard deviation of Expanse. A graph is displayed below for a better understanding of this feature.

Finally, we can say that our formula worked successfully and we can estimate the value of the correlation.

**Read More: How to Make Correlation Graph in Excel (with Easy Steps) **

### 2. Applying PEARSON Function

In the following approach, we will use **the PEARSON function** to calculate the value of the correlation. Our dataset is in the range of cells **B4:D14** and the value of the correlation will be in cell **C16**. The procedure of this method is given as follows:

**📌Steps:**

- First of all, select cell
**C16**. - Then, write down the following formula into the cell.

`=PEARSON(C5:C14,D5:D14)`

- After that, press the
**Enter**key. - You will get the value correlation of our dataset is showing in cell
**C16**.

💬 **Explanation of the Value for Correlation Used in the Dataset**

We know that the value of correlation helps us to understand the strength of the relationship between the values of two variables. For our dataset, the value of 0.919 indicates that for every row the values are 0.919 times each other. Besides it, this value is the ratio of the covariance of both variables and the multiplication of the standard deviation of Income and the standard deviation of Expanse. A graph is displayed below for a better understanding of this feature.

Thus, we can say that our formula worked perfectly and we are able to do correlation in Excel.

**Read More:** **How to Calculate Pearson Correlation Coefficient in Excel (4 Methods)**

**Similar Readings**

**How to Calculate Autocorrelation in Excel (2 Ways)****Calculate Correlation Coefficient in Excel (3 Methods)****How to Calculate Cross Correlation in Excel (2 Quick Ways)****Calculate Intraclass Correlation Coefficient in Excel**

### 3. Use of Excel’s Built-in Data Analysis Feature

In this process, we will use Excel’s built-in **Data Analysis** features to do correlation in the Excel dataset. For using this feature, we have to enable the **Data Analysis** option from Excel’s built-in **Add-ins**. Our dataset is in the range of cells **B4:D14** and the result will be in the range of cells **B16:D18**. The process is explained below step by step:

**📌 Steps:**

- To enable the
**Data Analysis**option, first select**File > Options**.

- A dialog box called
**Excel Options**will appear. - In this box, select the
**Add-ins**option. - After that, choose the
**Manage**option as**Excel Add-ins**and click**Go**.

- Another dialog box entitled
**Add-ins**will appear. - Check the
**Analysis ToolPak**option. - Finally, click
**OK**.

- You will see a new group called
**Analysis**added in the**Data**tab.

- Now, select the
**Data Analysis**option from the**Analysis**group. - A dialog box titled
**Data Analysis**will appear. - Then, choose the
**Correlation**option and click**OK**.

- Another dialog box called
**Correlation**will come. - After that, set the
**Input Range**as**$C$5:$D$14**, selecting through your mouse. - Choose the
**Output options**as**Output Range**and write your desired cell. In our case, we choose cell**$B$16**. - Al last clicks the
**OK**option.

- Finally, you will see the value of correlation is showing in the range of cells
**B16:D18**.

💬 **Explanation of the Value for Correlation Used in the Dataset**

The value of correlation indicates the strength of the relationship between the values of two variables. Thus, the value of 0.919 in cell **B18** indicates that for every row the values are 0.919 times each other. Besides it, the value of **B17** and **C18** is showing the correlation value against their own columns, thus those value returns 1. This value is the ratio of the covariance of both variables and the multiplication of the standard deviation of Income and the standard deviation of Expanse.

So, we can say that our approach worked successfully and we are able to do correlation in Excel.

**Read More:** **How to Make a Correlation Matrix in Excel (2 Handy Approaches)**

## Conclusion

That’s the end of this article. I hope that this content will be helpful for you and you will be able to do correlation in your Excel workbook. If you have any further queries or recommendations, please share them with us in the comments section below.

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