how to tell independent and dependent variables apart?
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An easy way to think of independent and dependent variables is, when you're conducting an experiment, the independent variable is what you change, and the dependent variable is what changes because of that. You can also think of the independent variable as the cause and the dependent variable as the effect.
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The dependent variable is the one that depends on the value of some other number. ... Another way to put it is the dependent variable is the output value and the independent variable is the input value. So for y=x+3, when you input x=2, the output is y = 5.
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Independent variables - The values that can be changed or controlled in a given model or equation. They provide the "input" which is modified by the model to change the "output." Dependent variables - The values that result from the independent variables.
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['In a study to determine whether how long a student sleeps affects test scores, the independent variable is the length of time spent sleeping while the dependent variable is the test score.', 'You want to compare brands of paper towels, to see which holds the most liquid.']
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The independent variable is the amount of dish soap, while the dependent variable is the amount of foam produced.
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The relationship between the independent and dependent variables is said to be "explained away" by the control variable. Bivariate tables that display the relationship between the independent and dependent variables while controlling for a third variable.
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An independent variable is used in statistics to predict or explain a dependent variable. For example, Age and Gender might be used as independent variables to predict the age of death or life expectancy (dependent variables).
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['Correct title. ON TOP The Effect of (independent variable) on the (dependent variable)', 'Correct scaling. intervals are even on axis.', 'Both axis labeled and units. x- independent. y- dependent.', 'Origin. ...', 'Dots. Circle and connect them.', 'Break. to have a skip of numbers.', 'Key. to indicate what each line means.']
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The independent variables are the ones that are tested to see if they are the cause. The dependent variables are the properties that change when the independent variables change. ... To answer this question, you plot a graph with the independent variable along the x-axis and the dependent variable along the y-axis.
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The independent variable is the one the experimenter controls. The dependent variable is the variable that changes in response to the independent variable. The two variables may be related by cause and effect. If the independent variable changes, then the dependent variable is affected.
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Choose your x and y carefully. Scientists like to say that the “independent” variable goes on the x-axis (the bottom, horizontal one) and the “dependent” variable goes on the y-axis (the left side, vertical one).
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Dependent and independent variables. From Wikipedia, the free encyclopedia. In an experiment, the variables used can be classed as either dependent or independent variables. The dependent variable is the possible outcome of the experiment; the effect. It depends on what happens to other variables in the experiment.
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Identify the variables Independent variable – the variable that is altered during a scientific experiment. Dependent variable – the variable being tested or measured during a scientific experiment. Controlled variable – a variable that is kept the same during a scientific experiment.
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The independent variable is the variable that is controlled and manipulated by the experimenter. For example, in an experiment on the impact of sleep deprivation on test performance, sleep deprivation would be the independent variable. The dependent variable is the variable that is measured by the experimenter.
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The independent variable belongs on the x-axis (horizontal line) of the graph and the dependent variable belongs on the y-axis (vertical line).
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A dependent variable represents a quantity whose value depends on those manipulations. In the context of a function, the independent variables are the inputs to the function and the dependent variables are the outputs of the function.
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The dependent variable is the variable that changes in response to the independent variable. The two variables may be related by cause and effect. If the independent variable changes, then the dependent variable is affected.