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  2. Inverse demand function - Wikipedia

    en.wikipedia.org/wiki/Inverse_demand_function

    The marginal revenue function is the first derivative of the total revenue function or MR = 120 - Q. Note that in this linear example the MR function has the same y-intercept as the inverse demand function, the x-intercept of the MR function is one-half the value of the demand function, and the slope of the MR function is twice that of the ...

  3. Newton's method - Wikipedia

    en.wikipedia.org/wiki/Newton's_method

    The idea is to start with an initial guess, then to approximate the function by its tangent line, and finally to compute the x-intercept of this tangent line. 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 ...

  4. Simple linear regression - Wikipedia

    en.wikipedia.org/wiki/Simple_linear_regression

    The above equations are efficient to use if the mean of the x and y variables (¯ ¯) are known. If the means are not known at the time of calculation, it may be more efficient to use the expanded version of the α ^ and β ^ {\displaystyle {\widehat {\alpha }}{\text{ and }}{\widehat {\beta }}} equations.

  5. Linear regression - Wikipedia

    en.wikipedia.org/wiki/Linear_regression

    This is sometimes called the unique effect of x j on y. In contrast, the marginal effect of x j on y can be assessed using a correlation coefficient or simple linear regression model relating only x j to y; this effect is the total derivative of y with respect to x j.

  6. Ordinary least squares - Wikipedia

    en.wikipedia.org/wiki/Ordinary_least_squares

    In statistics, ordinary least squares (OLS) is a type of linear least squares method for choosing the unknown parameters in a linear regression model (with fixed level-one [clarification needed] effects of a linear function of a set of explanatory variables) by the principle of least squares: minimizing the sum of the squares of the differences between the observed dependent variable (values ...

  7. Linear equation - Wikipedia

    en.wikipedia.org/wiki/Linear_equation

    Vertical line of equation x = a Horizontal line of equation y = b. Each solution (x, y) of a linear equation + + = may be viewed as the Cartesian coordinates of a point in the Euclidean plane. With this interpretation, all solutions of the equation form a line, provided that a and b are not both zero. Conversely, every line is the set of all ...

  8. Secant method - Wikipedia

    en.wikipedia.org/wiki/Secant_method

    Starting with initial values x 0 and x 1, we construct a line through the points (x 0, f(x 0)) and (x 1, f(x 1)), as shown in the picture above.In slope–intercept form, the equation of this line is

  9. Scatchard equation - Wikipedia

    en.wikipedia.org/wiki/Scatchard_equation

    The Scatchard equation is an equation used in molecular biology to calculate the ... the Scatchard plot shows that the slope equals to -1/K d while the x-intercept ...