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  2. Arrhenius plot - Wikipedia

    en.wikipedia.org/wiki/Arrhenius_plot

    When plotted in the manner described above, the value of the y-intercept (at = / =) will correspond to ⁡ (), and the slope of the line will be equal to /. The values of y-intercept and slope can be determined from the experimental points using simple linear regression with a spreadsheet .

  3. Numeric precision in Microsoft Excel - Wikipedia

    en.wikipedia.org/wiki/Numeric_precision_in...

    Excel graph of the difference between two evaluations of the smallest root of a quadratic: direct evaluation using the quadratic formula (accurate at smaller b) and an approximation for widely spaced roots (accurate for larger b). The difference reaches a minimum at the large dots, and round-off causes squiggles in the curves beyond this minimum.

  4. Eadie–Hofstee diagram - Wikipedia

    en.wikipedia.org/wiki/Eadie–Hofstee_diagram

    The plot is occasionally attributed to Augustinsson [5] and referred to the Woolf–Augustinsson–Hofstee plot [6] [7] [8] or simply the Augustinsson plot. [9] However, although Haldane, Woolf or Eadie were not explicitly cited when Augustinsson introduced the versus / equation, both the work of Haldane [10] and of Eadie [3] are cited at other places of his work and are listed in his ...

  5. Regression analysis - Wikipedia

    en.wikipedia.org/wiki/Regression_analysis

    The researchers' goal is to estimate the function (,) that most closely fits the data. To carry out regression analysis, the form of the function f {\displaystyle f} must be specified. Sometimes the form of this function is based on knowledge about the relationship between Y i {\displaystyle Y_{i}} and X i {\displaystyle X_{i}} that does not ...

  6. Linear interpolation - Wikipedia

    en.wikipedia.org/wiki/Linear_interpolation

    Linear interpolation on a data set (red points) consists of pieces of linear interpolants (blue lines). Linear interpolation on a set of data points (x 0, y 0), (x 1, y 1), ..., (x n, y n) is defined as piecewise linear, resulting from the concatenation of linear segment interpolants between each pair of data points.

  7. Coefficient of determination - Wikipedia

    en.wikipedia.org/wiki/Coefficient_of_determination

    When only an intercept is included, then r 2 is simply the square of the sample correlation coefficient (i.e., r) between the observed outcomes and the observed predictor values. [4] If additional regressors are included, R 2 is the square of the coefficient of multiple correlation. In both such cases, the coefficient of determination normally ...

  8. Security characteristic line - Wikipedia

    en.wikipedia.org/wiki/Security_characteristic_line

    Security characteristic line Positive abnormal return (α): Above-average returns that cannot be explained as compensation for added risk Negative abnormal returns (α): Below-average returns that cannot be explained by below-market risk

  9. Semi-log plot - Wikipedia

    en.wikipedia.org/wiki/Semi-log_plot

    On a log–linear plot (logarithmic scale on the y-axis), pick some fixed point (x 0, F 0), where F 0 is shorthand for F(x 0), somewhere on the straight line in the above graph, and further some other arbitrary point (x 1, F 1) on the same graph.

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