Changes

==Description==

==Description==

*This function is calculating the point where the line is intesecting y-axis using dependent and independent variables.

*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 <math> y </math> when <math> x </math> is zero.

*Using this function we can find the value of <math> y </math> when <math> x </math> is zero.

*The intercept  point is finding using  simple linear regression.

*The intercept  point is finding using  simple linear regression.

*Regression methods nearly to the simple ordinary least squares also exist.  

*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.

*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 <math> n </math> data points  <math> {y_{i}, x_{i}}</math>, <math>where i = 1, 2,...n</math>

*Suppose there are <math> n </math> data points  <math> {y_{i}, x_{i}}</math>, where <math>i = 1, 2,...n</math>

*To find the equation of the regression line:<math> a=\bar{y}-b.\bar{x}</math>.

*To find the equation of the regression line:<math> a=\bar{y}-b.\bar{x}</math>.

*This equation will give a "best" fit for the data points.  

*This equation will give a "best" fit for the data points.