- If you need clarification, ask it in the comment box above.
- Better answers use proper spelling and grammar.
- Provide details, support with references or personal experience.
Tell us some more! Your answer needs to include more details to help people.You can't post answers that contain an email address.Please enter a valid email address.The email address entered is already associated to an account.Login to postPlease use English characters only.
Tip: The max point reward for answering a question is 15.
All values that arise as influenced by changes in the values of other variable. Or, Dependent Variable is the observed factor.
If we have a Linear Function as
Y = mX + C
so,
Y should be Dependent Variable,
X as Independent Variable,
m as Coefficient and
C as Constant.
The responding variable is another name for the dependent variable.
On a graph, the x variable is the independent variable and the y variable is the dependent/responding variable.
I remember the difference between the two in that the dependent variable depends on the independent variable. For example, for teenagers, in height versus age, the age would be the independent variable and the dependent variable would be the height. We would expect as teenagers get older, they are taller.
You might have used an inappropriate variable name.
For functional graphs y=F(x), the independent variable must be X
For parametric graphs, the independent variable in the x_t and y_t functions must be t.
For polar graphs the independent variable must be Theta, and for sequence graphs, it must be the special wiggly n.
Once you select the type of graph, the independent variable is entered by pressing the key marked X,T, Theta, n.
When conducting an experiment, a researcher usually has a dependent and independent variable. The independent variable is the variable that can be changed or manipulated (think of it as a cause). The dependent variable is the variable that depends on the independent variable (think effect).
For example, if you wanted to test whether or not taking Advil affects the length of a headache:
Taking Advil (or not) is what you can manipulate. It is the independent variable.
Headache duration is the dependent variable. The results depend on whether or not Advil was taken.
When conducting an experiment, a researcher usually has a dependent and independent variable. The independent variable is the variable that can be changed or manipulated (think of it as a cause). The dependent variable is the variable that depends on the independent variable (think effect).
For example, if you wanted to test whether practice improves an athlete's performance (lets say number of touchdowns):
Practicing (or not) is what you can manipulate. It is the independent variable.
Number of touchdowns is the dependent variable. The results depend on whether or not the athlete practiced.
for a full definition, try wikipedia. an independent variable can be freely changed. a dependent variable will BE changed as the independent variable is changed basically there are 2 main examples. mathematical, and experimental.
with experiments,(science, chemistry etc.) one example would be changing the amount of fertilizer fed to a plant to see how it affects growth. there are 2 variables here. amount of fertilizer used and growth of the plant. the amount of the fertilizer can be freely changed. (independent variable) the amount of growth DEPENDS on the amount of fertilizer (dependent variable)
with maths, you can use something like 2x+5=y. x can freely changed. it is the independent variable. y will change depending on the value of x.
×