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Manuals/calci/INTERCEPT (view source)
Revision as of 05:37, 19 December 2013
, 05:37, 19 December 2013→Description
*i.e.,The Least Squares method relies on taking partial derivatives with respect to the slope
*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.
and intercept which provides a solvable pair of equations called normal equations.
*Suppose there are <math> n </math> data points {y_i, x_i}, where i = 1, 2, …, n.
*Suppose there are <math> n </math> data points {y\_i, x\_i}, where i = 1, 2, …, n.
*To find the equation of the regression line:<math> a=y(bar)-b.x(bar)</math>.
*To find the equation of the regression line:<math> a=y(bar)-b.x(bar)</math>.
*This equation will give a "best" fit for the data points.
*This equation will give a "best" fit for the data points.