This function calculates Linear Regression by Least Squares Fitting

Input:
	X and Y co-ornidates of points
Output:
	Slope of the Fitting Line
	Equation of Least Squares Fitting Line

X Values (X₁, X₂, X₃ .... X_n) Seperator is , [comma].
1.1,2.1,3.5,4.2,5.9,6.4,7.5,8.3,9.7,10.4      
Y Values (Y₁, Y₂, Y₃ .... Y_n) Seperator is , [comma].
0.9,2.2,3.1,4.6,5.1,6.8,7.0,8.6,9.2,10.6

Slope, tanø = 0.9998881294119000
c = -0.0993388448243040
Equation of Least Squares Fitting Line is [y = mx + c]: y = 0.9998881294119000x - 0.0993388448243040