# 3.5.2.16 Intercept

## Description

This function is used to calculate the intercept of the linear regression of the given curve, which is defined as:

$a = \bar{y} - b \bar{x}$

where,

b is the slope which is defined as $b = \frac{\sum{(x-\bar{x})(y-\bar{y})}}{\sum{(x-\bar{x})^2}}$,

$\bar{x}$ and $\bar{y}$ are the means of x and y.

## Syntax

 double Intercept(vector vx, vector vy)

## Parameters

vx

Input vector for independent variable.

vy

Input vector for dependent variable.

## Return

Return the the intercept of the linear regression of the given curve.

## Example

newbook;
col(A) = data(1,5);
col(B) = uniform(5);
Intercept(col(A),col(B)) = ;