What does varies jointly mean in math?

The phrase “varies jointly” refers to the relationship between the values of two variables. The values of two variables vary together when both change together. If the value of one variable increases, the value of the other variable usually also increases. If the value of one variable decreases, the value of the other variable usually also decreases.

What does varies jointly mean in algebra?

A function is a single variable mathematical equation. Varies jointly means that the function has more than one output value for a single input value. If you graph a function of two variables, you can see an example of a function that varies jointly. The graph will show two curves which cross. For example, the function is varying jointly because for any value of between -1 and 1, has two possible values: -1 and 1.

What does varies jointly mean in geometry?

Varies jointly means that multiple variables change together. You can think of the variables as being on different graphs that line up as you move around them. If they all increase at the same time, it varies jointly. If one of the graphs shifts up while the others shift down or stay the same, it varies jointly in that situation.

What does varies jointly mean in statistics?

When two or more numbers are combined to form a single variable, the outcome is said to vary jointly with each variable. The sum of two numbers is an example of a jointly varying variable. If you add one number together to get a new one, the two numbers form a jointly varying variable.

What does varies jointly mean in calculus?

Another way of saying that two functions vary jointly is that the graphs of the two functions are linked together. This is especially true when we are working with graphs of real-valued functions. If one function increases, so does the other. If one function decreases, so does the other. If one function shifts vertically, so does the other. If one function shifts horizontally, so does the other. This property makes graphs of jointly varying functions very interesting to look at.