Abstract
In mathematics and mathematically related disciplines, scientists speak of functional relations between variables. The statement y = 3 + x for all positive values of x is an example of a functional relation between variables x and y. Through this relation it is possible to establish the exact value of y for any value of x. For example, if x takes the value 3 then y takes the value 6. In the physical sciences, functional relations may be referred to as Laws. Students of physics would recognize the relation between pressure (P) and volume (V) of a gas, P = k/V or PV = k as Boyle’s Law. This relation establishes that the product of the pressure and volume of an ideal gas is constant.
Keywords
- Explanatory Variable
- Simple Linear Regression
- Linear Regression Equation
- Regression Relation
- Variance Table
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.
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© 1990 Springer Science+Business Media New York
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McPherson, G. (1990). Prediction and Estimation: The Role of Explanatory Variables. In: Statistics in Scientific Investigation. Springer Texts in Statistics. Springer, New York, NY. https://doi.org/10.1007/978-1-4757-4290-9_18
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DOI: https://doi.org/10.1007/978-1-4757-4290-9_18
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