In scientific research, it is required to calculate predicted values. Because in market research or data science, prediction is usually more significant. Therefore, **the INTERCEPT function** is more important here. **The INTERCEPT function** in Excel is a built-in function that is categorized as a **Statistical Function**. Using existing x- and y-values, **the INTERCEPT function** calculates the location at which a line will intersect the y-axis. By plotting a best-fit regression line through known x- and y-values determines the intercept point.

In this tutorial, we will discuss **the INTERCEPT function** in **Microsoft Excel** along with its formula syntax and usage. In addition, we will plot a regression line using **the INTERCEPT function** to make it visualized.

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**Introduction to the INTERCEPT Function in Excel**

**Function Objective:**

Based on known x and y values, **the INTERCEPT function** in **Excel** determines the location where a regression line will intersect the y-axis.

**Syntax:**

**=INTERCEPT(known_yâ€™s, known_xâ€™s)**

**Arguments Explanation:**

Argument |
Required/Optional |
Explanation |
---|---|---|

Known_yâ€™s |
Required |
The dependent set of observations or data. |

Known_xâ€™s |
Required |
The independent set of observations or data. |

**Return Parameter:**

**The INTERCEPT function** gives you a number. It will return the **#N/A** error if the known y values and known x values arguments have different numbers of items.

**Equation**

In a regression model, interpreting the intercept isnâ€™t always as simple as it appears. When all X=0, the intercept is the predicted mean value of Y.

So, letâ€™s start with a single predictor, X, in a regression equation.

If X equals 0 on occasion, the intercept is simply Yâ€™s expected mean value at that point. Thatâ€™s significant. The intercept has no intrinsic value if X never equals 0. Both of these instances occur frequently in real-world data.

**The Intercept Function** uses the following equation to calculate the intercept of the linear regression line through a set of given points:

where the slope, b is given by the equation:

and the values of ** x** and

**Â Â are the sample means (the averages) of the known x- and y-values.**

*y***Read More:** **How to calculate Average, Median, & Mode in Excel**

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**How to Use MODE Function in Excel (4 Examples)****Use VAR Function in Excel (4 Examples)****How to Use PROB Function in Excel (3 Examples)****Use Excel STDEV Function (3 Easy Examples)****How to Use Excel GROWTH Function (4 Easy Methods)**

## INTERCEPT Function: Basic Use and Regression Analysis

In this section, we will demonstrate the basic use of the INTERCEPT function and Regression analysis

**Basic Use of the INTERCEPT Function in Excel**

Consider the following scenario: You have a data set of some independent values (X) and some dependent values of (Y). But there is no linear relationship between X and YÂ like a straight line. Therefore, we will use **the INTERCEPT function** to calculate the value of a dependent variable when the independent variable is zero (0). The following formula is used here,

`=INTERCEPT(B5:B13,C5:C13)`

**Step 1**:

- Type
**the INTERCEPT function**in the cell**C14** - Select the range
**B5:B13**for the dependent variable**known_ys**.

**Step 2:**

- Select the range
**C5:C13**for Independent variable**known_xs**.

**Step 3:**

- Press
**Enter**to see the Result.

### Regression Analysis

In the spreadsheet below, we will find the point where the linear regression line through the known xâ€™s and known yâ€™s crosses the y-axis.

Generally, the objective of a regression model is to figure out how predictors and responses are related. If this is the case, and X is never equal to 0, the intercept is of no use. It doesnâ€™t tell you anything about X and Yâ€™s relationship. Consider centering X when X never equals 0 but you want a meaningful intercept.

The intercept now has relevance if you rescale X so that the mean or any other relevant value = 0 (simply remove a constant from X). Itâ€™s the average value of Y at the specified X value. From the regression line, we have found that, the intercept point from the regression analysis is relatable to the intercept point found from using** the INTERCEPT function.**

**Read More:** **How to Use AVERAGE Function in Excel (5 Examples)**

**âśŤ Things to Remember**

âśŽÂ Numbers or names, arrays, or references containing numbers should be used as parameters.

âśŽÂ Text, logical values, and empty cells in an array or reference argument are ignored; however, cells with the value zero are included.

âśŽ **INTERCEPT** returns the **#N/A** error value if known ys and known xs have different numbers of data points or no data points.

**Conclusion**

To conclude, I hope this article has given you some useful information about how to apply** the INTERCEPT function** in Excel. You should learn at first and then apply all of these procedures. Take a look at the practice workbook and put these skills to the test. Your valuable support keep motivating us to make tutorials like this

If you have any questions â€“ Feel free to ask us. Also, feel free to leave comments in the section below.

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