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翻訳と辞書　辞書検索 [ 開発暫定版 ] スポンサード リンク Quadrant count ratio ： ウィキペディア英語版 Quadrant count ratio The quadrant count ratio (QCR) is a measure of the association between two quantitative variables. The QCR is not commonly used in the practice of statistics; rather, it is a useful tool in statistics education because it can be used as an intermediate step in the development of Pearson's correlation coefficient. == Definition and properties == To calculate the QCR, the data are divided into quadrants based on the mean of the $X$ and $Y$ variables. The formula for calculating the QCR is then: : $q=\backslash frac)-n(\backslash text)-n(\backslash text)\},$ where $\backslash text$ is the number of observations in that quadrant and $N$ is the total number of observations. The QCR is always between −1 and 1. Values near −1, 0, and 1 indicate strong negative association, no association, and strong positive association (as in Pearson's correlation coefficient). However, unlike Pearson's correlation coefficient the QCR may be −1 or 1 without the data exhibiting a perfect linear relationship. 抄文引用元・出典: フリー百科事典『 ウィキペディア（Wikipedia）』 ■ウィキペディアで「Quadrant count ratio」の詳細全文を読む スポンサード リンク 翻訳と辞書 : 翻訳のためのインターネットリソース Copyright(C) kotoba.ne.jp 1997-2016. All Rights Reserved.