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ASTM International - ASTM E3080-16

Standard Practice for Regression Analysis

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Organization: ASTM International
Publication Date: 1 November 2016
Status: inactive
Page Count: 7
ICS Code (Application of statistical methods): 03.120.30
significance And Use:

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... View More

scope:

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.

Document History

September 1, 2019
Standard Practice for Regression Analysis with a Single Predictor Variable
4.1 Regression analysis is a procedure that uses data to study the statistical relationships between two or more variables (1, 2).3 This practice is restricted in scope to consider only a single...
November 1, 2017
Standard Practice for Regression Analysis
4.1 Regression analysis is a statistical procedure that studies the statistical relationships between two or more variables Ref. (1, 2).3 In general, one of these variables is designated as a...
ASTM E3080-16
November 1, 2016
Standard Practice for Regression Analysis
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...
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