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ASTM E3080-16
Standard Practice for Regression Analysis
7 стр.
Заменен
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Разработчик:
Зарубежные/ASTM
ICS:
03.120.30 Application of statistical methods / Применение статистических методов
Сборник (ASTM):
14.05 Statistical Methods; Hazard Potential of Chemicals; Thermal Measurements; Manufacture of Pharmaceutical and Biopharmaceutical Products / Статистические методы; Потенциальная опасность химических веществ; Измерения теплопроводности; Производство фармацевтических изделий
Тематика:
Quality Control
Описание
Значение и использование

4.1 Regression analysis is a statistical procedure that studies the relations between two or more numerical variables and utilizes existing data to determine a model equation for prediction of one variable from another. In this standard, a simple linear regression model, that is, a straight line relationship between two variables, is considered (1, 2).3

Область применения

1.1 This practice covers regression analysis methodology for estimating, evaluating, and using the simple linear regression model to define the relationship between two numerical variables.

1.2 The system of units for this practice is not specified. Dimensional quantities in the practice are presented only as illustrations of calculation methods. The examples are not binding on products or test methods treated.

1.3 This standard does not purport to address all of the safety concerns, if any, associated with its use. It is the responsibility of the user of this standard to establish appropriate safety and health practices and determine the applicability of regulatory limitations prior to use.

Ключевые слова:
bivariate; correlation; least squares; regression;