C # finding slope linear regression slope

public class Myslope
{
Public list<double> Values {get; set;}

Public double Sloperesult {get; set;}

}
//------------------------------------------------------------------------------------------------------------- ------------------
#region Calculation slope
<summary>
Calculates Slope ()
</summary>
<param name= "Input" >input y_signal</param>
<param name= "period" >number of periods</param>
<returns>object containing Operation Results</returns>
public static Myslope Slope (ienumerable<double> input_y, int period)
{//var returnvalues = new list<double> ();
list<double> input_x = new list<double> ();
for (int i = 1; I <= period; i++)
{
Input_x.add (i);

}

var copyinputvalues_x = Input_x.tolist ();
var copyinputvalues_y = Input_y.tolist ();
List<double> arr_xy=new list<double> ();
List<double> arr_xx=new list<double> ();
list<double> arr_x = new list<double> ();
list<double> arr_y = new list<double> ();
arr_x = copyinputvalues_x;
for (int j=copyinputvalues_y.count-period;j<copyinputvalues_y.count;j++)
{

Arr_x.add (Copyinputvalues_x[j]);
Arr_y.add (Copyinputvalues_y[j]);

}
Double X_arr_dataav = arr_x.take (period). Average ();
Double Y_arr_dataav = arr_y.take (period). Average ();
for (int i=0;i<arr_x.count;i++)
{
Arr_x[i] = arr_x[i]-X_arr_dataav;
Arr_y[i] = arr_y[i]-Y_arr_dataav;
Arr_xx. ADD (arr_x[i] * arr_x[i]);
Arr_xy. ADD (arr_y[i] * arr_x[i]);
}
Double sumxx = arr_xx. Sum ();
Double Sumxy = Arr_xy. Sum ();

var result = new Myslope ()
{
Sloperesult = Sumxy/sumxx,
Values = Returnvalues,
};
return result;
}
#endregion

}

C # finding slope linear regression slope