In this tutorial, I am going to show you **3 **easy methods of how to find the **standard error of estimate** in **Excel**. You can quickly use these methods to find the standard deviation and so error of the estimate from your model data very easily. Throughout this tutorial, you will also learn some important Excel tools and functions which will be very useful in any Excel-related task.

## Download Practice Workbook

You can download the practice workbook from here.

## What Is Standard Error of Estimate?

The **standard error of estimate** is a measure of the variability of a statistical model. It is used to determine how well a model fits a set of data and to quantify the precision of predictions made using the model. The **standard error of estimate** is calculated as the square root of the sum of squares of the residuals divided by the degrees of freedom. The smaller the standard error of estimate, the more precise the model is in predicting the dependent variable based on the independent variable. It is an important tool in statistical analysis, as it helps researchers understand the accuracy of their models.

## 3 Easy Methods to Find Standard Error of Estimate in Excel

We have taken a concise dataset to explain the steps clearly. The dataset has approximately **6 **rows and **2 **types of columns. Initially, we are keeping all the cells in **General **format. For all the datasets, we have **2 **unique columns which are **Company Name** and** Monthly Sales Variations**. Although we may vary the number of columns later on if that is needed.

### 1. Using STDEV Function

In **Excel**, we can use **the STDEV function **to calculate the **standard error of estimate **for a sample. To find the standard error of estimate in Excel, you will need to first organize your data in a range of cells, and then use the **STDEV **function to determine the standard error of estimate for your data. Follow the steps below to do this.

**Steps:**

- First, go to cell
**C10**and type in the following formula:

`=STDEV(C5:E9)/SQRT(COUNT(C5:E9))`

- After that press
**Enter**and this will calculate the standard error of estimate inside cell**C10**.

By following these steps, you can effectively use the **STDEV **function to calculate the standard error of estimate for your data.

**Read More: ****How to Calculate Standard Error in Excel (with Easy Steps)**

### 2. Applying Excel STEYX Function to Find Standard Error of Estimate

We can also use **the STEYX function** in Excel to calculate the **standard error of estimate **for a sample. To find the **standard error of estimate** in Excel using the **STEYX **function, you will need to have both the independent and dependent variables in your data set. The **STEYX **function calculates the standard error of estimate as the square root of the sum of squares of the residuals divided by the degrees of freedom. It is a useful tool for understanding the accuracy of your statistical model. Let us see how to use this function.

**Steps:**

- To begin with, navigate to cell
**C10**and insert the formula below:

`=STEYX(C5:C9,B5:B9)`

- Finally, press
**Enter**to confirm the above formula and find the standard error of estimate of the earnings per month values.

You may efficiently utilize the **STEYX **function to determine the** standard error of estimate** for your data by following these steps.

**Read More: ****How to Find Residual Standard Error in Excel (2 Easy Methods)**

### 3. Utilizing LINEST Function

**The LINEST function** can be very useful to calculate the **standard error of estimate** for a sample. The **LINEST** function returns a variety of statistical parameters, including the **standard error of estimate. **This valueÂ represents the amount of error in the prediction of the dependent variable based on the independent variable. It is a useful tool for understanding the accuracy of your statistical model.

**Steps:**

- Firstly, double-click on cell
**E5**and type in the following formula:

`=LINEST(C5:C9,B5:B9,TRUE,TRUE)`

- Next press
**Enter**to confirm this formula. - Consequently, this formula will find the standard error of estimate in cell
**F7**as in the image below.

These procedures will help you use the **LINEST **function to accurately determine the standard error of estimation for your data.

**Read More: ****How to Calculate Standard Error of Regression in Excel (with Easy Steps)**

## Conclusion

I hope that you were able to apply the methods that I showed in this tutorial on how to find the **standard error of estimate** in **Excel**. As you can see, there are quite a few ways to achieve this. So wisely choose the method that suits your situation best. If you get stuck in any of the steps, I recommend going through them a few times to clear up any confusion. Lastly, to learn more **excel** techniques, follow our **ExcelDemy** website. If you have any queries, please let me know in the comments.