# INTERCEPT

The INTERCEPT function calculates the point at which a given line intersects the y-axis based on a set of x and y values. It is commonly used in statistical analysis to find the y-value when x is set to 0 in a linear regression model.

## Syntax

=INTERCEPT(`known_y's`

, `known_x's`

)

`known_y's` | The array or range of y-values in the data set. |

`known_x's` | The array or range of x-values in the data set that correspond to the y-values. |

## About INTERCEPT

When exploring relationships between variables and seeking insights from data points, the INTERCEPT function in Excel proves its worth by determining the y-intercept of a linear regression line. This function plays a crucial role in statistical analyses by pinpointing the value on the y-axis where the regression line intersects when x equals zero, providing essential information for predictive modeling and trend analysis. Utilize INTERCEPT to extract valuable information from datasets and enhance your analytical capabilities in Excel.

## Examples

Suppose you have a dataset consisting of x-values (2, 3, 4) and corresponding y-values (5, 7, 9). To find the y-intercept for this dataset, use the formula: =INTERCEPT({5, 7, 9}, {2, 3, 4}). This would give you the point at which the regression line intersects the y-axis.

Consider a scenario where you have recorded x-values (1, 2, 3, 4, 5) and their corresponding y-values (-5, -3, 1, 3, 5). To calculate the y-intercept based on this dataset, apply the formula: =INTERCEPT({-5, -3, 1, 3, 5}, {1, 2, 3, 4, 5}). This will provide you with the point of intersection on the y-axis.

## Questions

**What does the y-intercept calculated by the INTERCEPT function signify in a linear regression model?**

The y-intercept determined by the INTERCEPT function represents the point where the regression line intersects the y-axis when x equals zero. It serves as a crucial reference for understanding the baseline value or starting point of the relationship between variables.

**Can the INTERCEPT function be used for non-linear regression analysis?**

No, the INTERCEPT function is specifically designed for linear regression models and assumes a linear relationship between variables. For non-linear regression analysis, alternative functions or tools tailored for such analyses should be employed.

**What considerations should be kept in mind while utilizing the INTERCEPT function?**

When utilizing the INTERCEPT function, ensure that the x and y values provided are logically ordered and aligned. Additionally, confirm that the dataset exhibits a linear relationship between the variables to obtain accurate results.

## Related functions

SLOPE

LINEST

FORECAST

TREND

RSQ

STEYX

COEFFICIENT

CORREL