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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 ...
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).
Logistic regression is used in various fields, including machine learning, most medical fields, and social sciences. For example, the Trauma and Injury Severity Score (), which is widely used to predict mortality in injured patients, was originally developed by Boyd et al. using logistic regression. [6]
He is well known in epidemiology thanks to his invention of what is now known as the "Nagelkerke R2", which is one of a number of generalisations of the coefficient of determination from linear regression to logistic regression, see Pseudo-R-squared, Coefficient of determination, Logistic regression.
As of 2020-08-19 this article contains a section with a title "Pseudo-R ²s". A reference to "Logistic regression# R ²s" from within "Coefficient of determination#R 2 in logistic regression" directed to this article but NOT the desired section. I'm changing the section heading here to "Pseudo-R-squared" and then changing the link accordingly ...
One of the worst things you can do is take a loan from your 401(k), says Suze Orman. Remember, with a traditional 401(k), you have never paid taxes on that.
(The Center Square) – Keeping track of homeless sex offenders is becoming a tougher task for law enforcement officials, says a report by the Florida Legislature's research arm. The report by the ...
In statistics, an effect size is a value measuring the strength of the relationship between two variables in a population, or a sample-based estimate of that quantity. It can refer to the value of a statistic calculated from a sample of data, the value of one parameter for a hypothetical population, or to the equation that operationalizes how statistics or parameters lead to the effect size ...