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  2. Theil–Sen estimator - Wikipedia

    en.wikipedia.org/wiki/Theil–Sen_estimator

    Once the slope m has been determined, one may determine a line from the sample points by setting the y-intercept b to be the median of the values y i − mx i. The fit line is then the line y = mx + b with coefficients m and b in slopeintercept form. [12]

  3. Simple linear regression - Wikipedia

    en.wikipedia.org/wiki/Simple_linear_regression

    Deming regression (total least squares) also finds a line that fits a set of two-dimensional sample points, but (unlike ordinary least squares, least absolute deviations, and median slope regression) it is not really an instance of simple linear regression, because it does not separate the coordinates into one dependent and one independent ...

  4. Linear function (calculus) - Wikipedia

    en.wikipedia.org/wiki/Linear_function_(calculus)

    The simplest is the slope-intercept form: = +, from which one can immediately see the slope a and the initial value () =, which is the y-intercept of the graph = (). Given a slope a and one known value () =, we write the point-slope form:

  5. Linear regression - Wikipedia

    en.wikipedia.org/wiki/Linear_regression

    The Theil–Sen estimator is a simple robust estimation technique that chooses the slope of the fit line to be the median of the slopes of the lines through pairs of sample points. It has similar statistical efficiency properties to simple linear regression but is much less sensitive to outliers .

  6. Analytic geometry - Wikipedia

    en.wikipedia.org/wiki/Analytic_geometry

    In two dimensions, the equation for non-vertical lines is often given in the slope-intercept form: = + where: m is the slope or gradient of the line. b is the y-intercept of the line. x is the independent variable of the function y = f(x).

  7. Newton's method - Wikipedia

    en.wikipedia.org/wiki/Newton's_method

    This x-intercept will typically be a better approximation to the original function's root than the first guess, and the method can be iterated. x n+1 is a better approximation than x n for the root x of the function f (blue curve) If the tangent line to the curve f(x) at x = x n intercepts the x-axis at x n+1 then the slope is

  8. Bresenham's line algorithm - Wikipedia

    en.wikipedia.org/wiki/Bresenham's_line_algorithm

    where is the slope and is the y-intercept. Because this is a function of only x {\displaystyle x} , it can't represent a vertical line. Therefore, it would be useful to make this equation written as a function of both x {\displaystyle x} and y {\displaystyle y} , to be able to draw lines at any angle.

  9. Line (geometry) - Wikipedia

    en.wikipedia.org/wiki/Line_(geometry)

    In two dimensions, the equation for non-vertical lines is often given in the slopeintercept form: = + where: m is the slope or gradient of the line. b is the y-intercept of the line. x is the independent variable of the function y = f(x).

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