The answer is every point on the line in the Cartesian plane which is defined by the equation. You have one linear equation in two unknown variables. In order to solve for two variables you need two independent linear equations.
No, because a function can also be defined between two interdependent variables so that there is no independent variable.
Quiz and exam scores are discrete variables because they are defined as one exact number.
The two types of variables are the CONSTANT and CONTROL.
An equation with two variables . . . seriously!An equation with one variable can be can be solved, but when there are two variables, you need two equations. This is called a system of two equations in two variables.Three equations in three variables, etc.
Its arbitrary - that's how the word (work) is defined.
helller
The answer is every point on the line in the Cartesian plane which is defined by the equation. You have one linear equation in two unknown variables. In order to solve for two variables you need two independent linear equations.
The four defined thermodynamic variables (pressure, volume, temperature, and number of particles) are typically sufficient to fully describe the state of a system and predict its behavior. Any additional variables would be redundant or could be expressed in terms of the defined variables. These four variables form the foundation for understanding and applying the laws of thermodynamics.
climate zone; biome
No, because a function can also be defined between two interdependent variables so that there is no independent variable.
They are defined by how dry and how little precipitation or water there is
Climate is a classification that is chiefly defined by weather.
biome climate zone
Yes. Given two equations ... one for area and one for perimeter ... in two variables ... length and width ... I'd say that the dimensions are uniquely defined.
Quiz and exam scores are discrete variables because they are defined as one exact number.
Correlation is defined as the degree of relationship between two or more variables. It is also called the simple correlation. The degree of relationship between two or more variables is called multi correlation. when two or more variables are said to be higjly correlated it means that they have a strong relationship such that a given rise or fall in one variable will lead to a direct change in the other variable or variables. good examples of highly correlated variables are price and quantity, wage rate and out put, tax and income.