Constructs the regression line of Y
on X
using the method of least squares, for the set of pairs of points: (xValues[0], yValues[0])
, (xValues[1], yValues[1])
,.
an array d
with two doubles which describes the regression line. In particular, the regression line for the array d = d[0], d[1]
, will correspond to the regression line: Y(y)=d[0]*X+d[1]
, where X
is the variable corresponding to the first element (i.e. the xValues
) and Y
is the variable corresponding to the second element (i.e. the yValues
).
.. , (xValues[n], yValues[n])
. That
is, the regression line using the least squares method is constructed when the second
element of the pairs from which the data set of constructed is plot against the first
elements of the pairs.
Correlation Class | Correlation Namespace | Calculates the regression line of X on Y using the method of least squares.