Noun
/rˈeɪs.kæl/
The R-scale (or R-squared) is a statistical measure that represents the proportion of the variance for a dependent variable that's explained by an independent variable or variables in a regression model. It is commonly used in statistics, data analysis, and research fields to assess the goodness of fit of models.
The term "R-scale" is commonly used in academic, professional, and scientific contexts, notably in statistics, economics, and social sciences. It may appear more frequently in written contexts, such as research papers, articles, and statistical reports, compared to everyday oral communication.
The researcher calculated the R-scale to determine how well the model explained the data.
Исследователь вычислил R-scale, чтобы определить, насколько хорошо модель объясняла данные.
A high R-scale value indicates a strong relationship between the independent and dependent variables.
Высокое значение R-scale указывает на сильную связь между независимыми и зависимыми переменными.
When presenting the findings, the analyst highlighted the R-scale to emphasize the effectiveness of the predictive model.
При представлении результатов аналитик выделил R-scale, чтобы подчеркнуть эффективность предсказательной модели.
While the term "R-scale" does not have direct idiomatic expressions, it encompasses important statistical concepts. However, here are some phrases that relate to statistical and data contexts:
"On the same scale" - When comparing or assessing items based on the same criteria.
Для сравнения этих двух проектов нам нужно рассматривать их на одной шкале.
To compare these two projects, we need to assess them on the same scale.
"Set the bar high" - To establish a standard or expectation that is difficult to meet.
Этот проект действительно задал высокую планку в терминах R-scale и точности предсказания.
This project really set the bar high in terms of R-scale and prediction accuracy.
"Break new ground" - To do something innovative that has not been done before.
Эти исследования по R-scale действительно проложили новый путь в анализе данных.
These studies on R-scale have truly broken new ground in data analysis.
The term "R-scale" is derived from the statistical measure R (often R-squared), with "scale" referring to a system or standard of measurement. "R" signifies the correlation coefficient which provides a measure of how well the independent variable(s) explain the variation in the dependent variable.
Synonyms: - Coefficient of determination - R-squared
Antonyms: - No correlation - Low determination
In conclusion, the R-scale is a crucial concept in statistical analysis, used widely in formal contexts for assessing model accuracy and relationships between variables. It is well understood in fields that rely on data and statistical methods.