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  2. Coefficient of determination - Wikipedia

    en.wikipedia.org/wiki/Coefficient_of_determination

    Ordinary least squares regression of Okun's law.Since the regression line does not miss any of the points by very much, the R 2 of the regression is relatively high.. In statistics, the coefficient of determination, denoted R 2 or r 2 and pronounced "R squared", is the proportion of the variation in the dependent variable that is predictable from the independent variable(s).

  3. Brier score - Wikipedia

    en.wikipedia.org/wiki/Brier_score

    A skill score for a given underlying score is an offset and (negatively-) scaled variant of the underlying score such that a skill score value of zero means that the score for the predictions is merely as good as that of a set of baseline or reference or default predictions, while a skill score value of one (100%) represents the best possible ...

  4. Pseudo-R-squared - Wikipedia

    en.wikipedia.org/wiki/Pseudo-R-squared

    The last value listed, labelled “r2CU” is the pseudo-r-squared by Nagelkerke and is the same as the pseudo-r-squared by Cragg and Uhler. Pseudo-R-squared values are used when the outcome variable is nominal or ordinal such that the coefficient of determination R 2 cannot be applied as a measure for goodness of fit and when a likelihood ...

  5. Point-biserial correlation coefficient - Wikipedia

    en.wikipedia.org/wiki/Point-biserial_correlation...

    Further, n 1 is the number of data points in group 1, n 0 is the number of data points in group 2 and n is the total sample size. This formula is a computational formula that has been derived from the formula for r XY in order to reduce steps in the calculation; it is easier to compute than r XY. There is an equivalent formula that uses s n−1:

  6. Linear regression - Wikipedia

    en.wikipedia.org/wiki/Linear_regression

    Linear quantile regression models a particular conditional quantile, for example the conditional median, as a linear function β T x of the predictors. Mixed models are widely used to analyze linear regression relationships involving dependent data when the dependencies have a known structure.

  7. Multivariate adaptive regression spline - Wikipedia

    en.wikipedia.org/wiki/Multivariate_adaptive...

    For example, each line in the formula for ozone above is one basis function multiplied by its coefficient. Each basis function takes one of the following three forms: 1) a constant 1. There is just one such term, the intercept. In the ozone formula above, the intercept term is 5.2. 2) a hinge function.

  8. 12 reasons you aren't losing weight even though you're eating ...

    www.aol.com/12-reasons-arent-losing-weight...

    The number of calories you need to cut to shed pounds depends on your weight, daily calorie burn, hormones, and more. However, a good rule of thumb: Eating 500 fewer calories per day will help you ...

  9. Spearman's rank correlation coefficient - Wikipedia

    en.wikipedia.org/wiki/Spearman's_rank_correlation...

    Intuitively, the Spearman correlation between two variables will be high when observations have a similar (or identical for a correlation of 1) rank (i.e. relative position label of the observations within the variable: 1st, 2nd, 3rd, etc.) between the two variables, and low when observations have a dissimilar (or fully opposed for a ...

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