If no-one offers you a satisfactory answer to this question you might try asking it again specifying a context. This term may be used in manufacturing, it may be used in experimentation. It might be used in other contexts too.
They are variables that can take quantitative - as opposed to qualitative values. For example, the colour of peoples' eyes is a qualitative variable, but their age or shoe size are quantitative variables.
correlation * * * * * Only if the relationship is linear. For example, the correlataion between y and x when y = x2 is zero. But a very strong relationship between the two variables.
controlled,manipulated,responding variables
The endogenous variables value is established by the conditions of the other variables in the structure. The exogenous variables value in independent of the conditions of the other variables in the structure. The difference between the endogenous and exogenous variables is the endogenous depends solely on the structure and the exogenous depend on outside elements.
Covariance is a measure of how much two variables change together.If one variable changes how much will the other change?Example people's length and weight change together (within certain limits) taller people are in general heavier than shorter people. These two variables have great covariance.Whereas eye color has little relationship to height. those two variables have small (or no) covariance.
An algebraic expression is a mathematical phrase that includes numbers, variables, and operational symbols.
An operational definition of a variable is that which defines a variable in terms of operations that are used to measure it. This allows different investigators to perform the same or similar experiments when investigating a phenomenon. For example, a score on a standardized IQ (i.e., intelligence quotient) test might be the operational definition of the variable "intelligence."
Variables are symbols that replace unknown numbers. Variables are often letters. For example: 5*x=10 7*6=y Here "x" and "y" are the variables.
No.
operational variables
operational variables
operational variables
Ruel V. Churchill has written: 'Modern operational mathematics in engineering' 'Complex variables and applications' 'Operational mathematics' 'Fourier series and boundary value problems'
Boyle's law, for selected variables. Not pressure and temperature, for example.Boyle's law, for selected variables. Not pressure and temperature, for example.Boyle's law, for selected variables. Not pressure and temperature, for example.Boyle's law, for selected variables. Not pressure and temperature, for example.
It is not continuous.
Height, weight, wavelength of light.
Yes, a mathematical expression can have no variables, but such an expression is usually not very useful. An example of a valid expression without variables is: 1+1=2