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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. 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 ...

  4. 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 ...

  5. PRESS statistic - Wikipedia

    en.wikipedia.org/wiki/PRESS_statistic

    Instead of fitting only one model on all data, leave-one-out cross-validation is used to fit N models (on N observations) where for each model one data point is left out from the training set. The out-of-sample predicted value is calculated for the omitted observation in each case, and the PRESS statistic is calculated as the sum of the squares ...

  6. Regression validation - Wikipedia

    en.wikipedia.org/wiki/Regression_validation

    For example, if the functional form of the model does not match the data, R 2 can be high despite a poor model fit. Anscombe's quartet consists of four example data sets with similarly high R 2 values, but data that sometimes clearly does not fit the regression line. Instead, the data sets include outliers, high-leverage points, or non-linearities.

  7. Best Buy broadly misses earnings estimates as consumers pull ...

    www.aol.com/finance/best-buy-expected-see...

    Here's what Best Buy posted for the third quarter, compared to Bloomberg consensus data estimates: Adjusted earnings per share: $1.26 versus $1.29. Net sales: $9.45 billion versus $9.63 billion.

  8. Sample size determination - Wikipedia

    en.wikipedia.org/wiki/Sample_size_determination

    The table shown on the right can be used in a two-sample t-test to estimate the sample sizes of an experimental group and a control group that are of equal size, that is, the total number of individuals in the trial is twice that of the number given, and the desired significance level is 0.05. [4]

  9. Prisoners of Profit - The Huffington Post

    projects.huffingtonpost.com/prisoners-of-profit?...

    Nearly 40 percent of the nation’s juvenile delinquents are today committed to private facilities, according to the most recent federal data from 2011, up from about 33 percent twelve years earlier. Over the past two decades, more than 40,000 boys and girls in 16 states have gone through one of Slattery’s prisons, boot camps or detention ...