Manuals/calci/INTERCEPT

INTERCEPT(y,x)

• $y$ is the set of dependent data
• $x$ is the set of independent data.

Description

• This function is calculating the point where the line is intersecting y-axis using dependent and independent variables.
• Using this function we can find the value of $y$ when $x$ is zero.
• The intercept point is finding using simple linear regression.
• It is fits a straight line through the set of $n$ points in such a way that makes vertical distances between the points of the data set and the fitted line as small as possible.
• Regression methods nearly to the simple ordinary least squares also exist.
• i.e.,The Least Squares method relies on taking partial derivatives with respect to the slope and intercept which provides a solvable pair of equations called normal equations.
• Suppose there are $n$ data points ${y_{i},x_{i}}$, where $i=1,2,...n$
• To find the equation of the regression line:$a={\bar {y}}-b.{\bar {x}}$.
• This equation will give a "best" fit for the data points.
• The "best" means least-squares method. Here b is the slope.
• The slope is calculated by:$b={\frac {\sum _{i=1}^{n}{(x_{i}-{\bar {x}})(y_{i}-{\bar {y}})}}{\sum _{i=1}^{n}{(x_{i}-{\bar {x}})}^{2}}}$.
• In this formula${\bar {x}}$ and${\bar {y}}$ are the sample means AVERAGE of $x$ and $y$.
• In $INTERCEPT(y,x)$, the arguments can be numbers, names, arrays, or references that contain numbers.
• The arrays values are disregarded when it is contains text, logical values or empty cells.
• This function will return the result as error when any one of the argument is non-numeric or $x$ and $y$ is having different number of data points and there is no data.