y + 10 = 2 - x, Where x, y are variables and the value of y depends upon the value of x.
ax$^2$ + p x + c = 0, Where x is a variable.
Variables are classified in terms of their relationship with one another. In statistics, there are several types of variables,
Quantitative variables are not necessarily numerical, but can be categorized. For example Gender has two possible values: male and female.
Example: Gender, Hair color.
Quantitative variables can be continuous or discrete. These type of variables always have different numeric value. Interval sequence, ratio values and Ordered values are quantitative variables.
Example : Temperature, Height, age and marks on an exam.
Independent variable is one that is believed to cause some change in the value of the dependent variable.
Dependent variables :
Dependent variable is a measure of the behavior of the subject.
The dependent variable is a response that is generally measured using at
least one of the several different dimensions.
Discrete Variables:Discrete variables are usually contains integers values. These variables do not have units of measurement.
Continuous Variables:Continuous avriables represent real numbers that can be subdivided into infinitely smaller gradations. These variables always have some units of measurement.
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