It depends on what you are trying to describe.
These are common words, but in the areas of algebra and statistics, they are terms which need clear definitions.
A variable is represented by a symbol with a value that varies. (see related link)
Attribute data is data which shows the absence or presence of a characteristic. In quality control, a piece is either acceptable or unacceptable. A car is either new or used.
Attribute data can be represented by a binomial variable. Frequently, 0 is off/ no/ absent and 1 is on/yes/ present.
A second definition for "attribute" (not attribute data) when used with a particular object. In this case an attribute can be considered a certain quality or characteristic, like the color of a car.
I have included a related link.
A normal attribute is an attribute present in a schema and which has to be entered while entering a tuple.A derived Attribute is one which can be inferred(derived) from another normal attribute and it need not be a part of a schema.For e.g.-> In a schema, Date-of-Birth is a normal attribute.While Age is a derived attribute which can be derived from the Date-of-Birth
A line graph is most useful for representing how one variable influences another variable.
A Boolean variable is a variable from Boolean algebra having one of only two values.
linear equation in one variable
Basically the fact that some variable is squared - or that one variable is multiplied with another variable.
variable
You can assign a JavaScript variable to the attribute of an object using the assignment operator (=) Here's a quick example. var imageUrl = "image.png"; var img = new Image(); img.src = imageUrl; The above code would set the source attribute of the object named img as the contents of the variable imageUrl.
The main difference in taking the samples is that for a variable sample, measurements of a characteristic of interest are taken, and for an attribute sample, one counts the number of units having or not having specific properties (mostly good/bad or number of flaws). Generally, attribute samples are much larger than variable samples and to be useful, need to be very large, when the proportion of bad units (or flaws) is very small.
An attribute is a class member variable while a behaviour is a class member method.
An attribute describes something. A variable is something that can take on many values. An example in statistics for an attribute could be for a set of data the diameter. The attribute of the data could be the mean is 5 and standard deviation is 1/2. This describes the data. An example of a variable in statistics for the same set of data above is the diameter reading itself. The diameter will vary and is measured for each member of the population or sample, and may be 4.9, 5.1, 4.95, 5.05, etc. The value can vary on each part.
Variable parameters are parameters that can take on different values in different situations, while attribute parameters are inherent characteristics or qualities of an object or entity that do not change. Variable parameters vary based on the context, while attribute parameters are fixed properties.
A variable being measured is a characteristic or attribute that can take on different values or levels, and it is the focus of study in research or experimentation. Variables can be either independent (manipulated or controlled by the researcher) or dependent (affected by changes in the independent variable).
Potential to have more than one value for an attribute
One possible attribute for a liar could be dishonesty.
transitive dependency
The part in an experiment that stays the same is called the control variable. It is used as a baseline for comparison with the variable being tested to determine its effect. By keeping the control variable constant, researchers can confidently attribute any observed changes to the manipulated variable.
This is an attribute that is most likely to show itself. You may have the recessive attribute, but the dominant one takes over.