RegressionCommon`
RegressionCommon`
AdjustedRSquared
As of Version 7.0, AdjustedRSquared has become a property of LinearModelFit.
AdjustedRSquared
is a possible value for the RegressionReport option to Regress and DesignedRegress which represents the adjusted coefficient of determination.
更多信息和选项
- To use AdjustedRSquared, you first need to load the Regression Common Functions Package. You can do this by using Needs["LinearRegression`"], which will automatically load the Regression Common Functions Package, or you can load the package directly by using Needs["RegressionCommon`"].
- AdjustedRSquared gives a modified version of the coefficient of determination RSquared which adjusts for the number of parameters in the model.
- AdjustedRSquared is equal to 1-(n-1)/(n-p)(1-RSquared) where n=Length[data] and p is the number of parameters in the model.
范例
基本范例 (1)
AdjustedRSquared and RSquared for a linear regression:
Wolfram Research (2007)，AdjustedRSquared，Wolfram 语言函数，https://reference.wolfram.com/language/RegressionCommon/ref/AdjustedRSquared.html.
文本
Wolfram Research (2007)，AdjustedRSquared，Wolfram 语言函数，https://reference.wolfram.com/language/RegressionCommon/ref/AdjustedRSquared.html.
CMS
Wolfram 语言. 2007. "AdjustedRSquared." Wolfram 语言与系统参考资料中心. Wolfram Research. https://reference.wolfram.com/language/RegressionCommon/ref/AdjustedRSquared.html.
APA
Wolfram 语言. (2007). AdjustedRSquared. Wolfram 语言与系统参考资料中心. 追溯自 https://reference.wolfram.com/language/RegressionCommon/ref/AdjustedRSquared.html 年