Why is the Y axis the dependent variable?

Graphing Rules 1. The independent variable is plotted on the abscissa (also called the x-axis or horizontal axis), while the dependent variable is plotted on the ordinate (also called the y-axis or vertical axis). The dependent variable is the one whose value changes as a result of changes in the independent variable.

Why is y the dependent variable?

Mentor: That’s right, y is the dependent variable because we do not set a value of y directly; instead, we set a value of x and use that to find the value of y.

Why the dependent variable is located on the y-axis?

In drug trials, the drugs used are always the independent variable (and go on the x-axis) because the experimenter chose which drugs to test. In any data set, the dependent or Y-variable is the one whose value depends on or is affected by the value of the independent variable.

Is y-axis always independent variable?

Correct answer:

The independent variable is always displayed on the x-axis of a graph, while the dependent variable appears on the y-axis.

How do you determine the dependent variable?

The dependent variable is the one that depends on the value of some other number. If, say, y = x+3, then the value y can have depends on what the value of x is. Another way to put it is the dependent variable is the output value and the independent variable is the input value.

How do you know which is the dependent and independent variable?

The easiest way to identify which variable in your experiment is the Independent Variable (IV) and which one is the Dependent Variable (DV) is by putting both the variables in the sentence below in a way that makes sense. “The IV causes a change in the DV. It is not possible that DV could cause any change in IV.”

Which axis is the dependent variable?

y-axis

The Axes. The independent variable belongs on the x-axis (horizontal line) of the graph and the dependent variable belongs on the y-axis (vertical line).

Which variable is the dependent variable?

A dependent variable is the variable that changes as a result of the independent variable manipulation. It’s the outcome you’re interested in measuring, and it “depends” on your independent variable. In statistics, dependent variables are also called: Response variables (they respond to a change in another variable)

What is the meaning of dependent variable in research?

Definitions. Dependent Variable. The variable that depends on other factors that are measured. These variables are expected to change as a result of an experimental manipulation of the independent variable or variables.

Why are independent and dependent variables important?

Dependent and independent variables are important because they drive the research process. As defined earlier, a variable as opposed to a constant is simply anything that can vary and that many researchers consistently look at the relationship between these two variables.

Why are dependent and independent variables not applicable in a descriptive?

Only causal-comparative, experimental, and quasi-experimental research designs have independent and dependent variables. Descriptive studies only describe the current state of a variable, so there are no presumed cause or effects, therefore no independent and dependent variables.

Which of the following best describes a dependent variable?

Which of the following best describes the dependent variable? The variable that responds to change.

Which of the following best describes the independent variable?

1. Which of the following best describes the independent variables of this investigation? Explanation: (A) The independent variable is the variable the experimenter purposely changes.

Which phrase best describes the independent variable in an experiment?

An independent variable is defines as the variable that is changed or controlled in a scientific experiment. It represents the cause or reason for an outcome. Independent variables are the variables that the experimenter changes to test their dependent variable.

Which statement best describes the relationship between a dependent variable and an independent variable in a scientific investigation?

Which statement best describes the relationship between a dependent variable and an independent variable in a scientific investigation? The independent variable changes in response to the changes in the dependent variable.

What is the general statement that describes the relation between the independent variable and the dependent variable?

A hypothesis states a presumed relationship between two variables in a way that can be tested with empirical data. It may take the form of a cause-effect statement, or an “if x,…then y” statement. The cause is called the independent variable; and the effect is called the dependent variable.

What are the expected relationships between the independent variables and the dependent variables?

Independent variables are what we expect will influence dependent variables. A Dependent variable is what happens as a result of the independent variable.

Which of the following best defines the relationship between dependent independent and confounding variables?

Which of the following best defines the relationship between confounding, dependent, and independent variables? The confounding variable influences the dependent variable, but is not separated from the independent variable. In a true experimental study, the subjects should be assigned to groups randomly.

What is the difference between an independent and a dependent variable Brainly?

An independent variable is the variable that is changed or controlled in a scientific experiment to test the effects on the dependent variable. A dependent variable is the variable being tested and measured in a scientific experiment. The dependent variable is ‘dependent’ on the independent variable.

What are independent dependent control and random variables give an example of each what is a confounding variable?

For example, if you are researching whether lack of exercise leads to weight gain, then lack of exercise is your independent variable and weight gain is your dependent variable. Confounding variables are any other variable that also has an effect on your dependent variable.

Why is it important to identify the types of variables in research?

Variables are important to understand because they are the basic units of the information studied and interpreted in research studies. Researchers carefully analyze and interpret the value(s) of each variable to make sense of how things relate to each other in a descriptive study or what has happened in an experiment.