Wiki User
β 14y agoEach time the independent variable is changed, the dependent variable is measured.
If the independent variable is time, the experimenter chooses an appropriate interval between measurements. This same methodology is used whenever the independent variable is not something the experimenter actually has in his control.
Wiki User
β 14y agoIndependent variables, namely a quantity change will not cause except the dependent variable other than the amount of change. Only by the independent variables to a physical quantities to express, it is by the function relation is correct The dependent variable, a quantity change will cause in addition to other than the dependent variable amount change. Put the dependent variables as independent variable, is to determine the relationship between a big physical quantities. Variables, it is to point to have no fixed value, can change the number Constant DuoZhong type, and every type is there is a data type, have integers, bytes, characters, floating point, enumeration, etc.
Independent variable is time; dependent variable is temperature.
yes. usually you will work with an equal amount of dependent and independent variables. (ie, one dependent variable for every independent variable, and such that there is some kind of relationship between each..) If only. Usually a variable depends on many other variables. Such as, the price of a house depends on its size, number of rooms, distance to schools, age, windows etc.
Every time the independent variables change, the dependent variables change.Dependent variables cannot change if the independent variables didn't change.
When it doesn't fulfill the requirements of a function. A function must have EXACTLY ONE value of one of the variables (the "dependent variable") for every value of the other variable or variables (the "independent variable").
A line is used to describe the relationship between two variables, often an independent variable that is measured on the x-axis, and a dependent variable that is measured along the y-axis.The slope of the line tells you how much y will change for every unit change (change of -1 or +1) in x.A line is used to describe the relationship between two variables, often an independent variable that is measured on the x-axis, and a dependent variable that is measured along the y-axis.The slope of the line tells you how much y will change for every unit change (change of -1 or +1) in x.A line is used to describe the relationship between two variables, often an independent variable that is measured on the x-axis, and a dependent variable that is measured along the y-axis.The slope of the line tells you how much y will change for every unit change (change of -1 or +1) in x.A line is used to describe the relationship between two variables, often an independent variable that is measured on the x-axis, and a dependent variable that is measured along the y-axis.The slope of the line tells you how much y will change for every unit change (change of -1 or +1) in x.
An independent variable is something that you can change in your experiment. A dependent variable is something that changes depending on what your independent variable is. Example: You have two plants. You water one every day and you water the other one every other day to see how fast they'll grow. Your independent variable is water, because you can change how much you give to the plant. Your dependent variable are the plants, because they'll change depending on how much water you give them.
it depends the one you wish to control in the experiment , for example if the temperature was measured every minutes so the controlled variable is time...
it depends the one you wish to control in the experiment , for example if the temperature was measured every minutes so the controlled variable is time...
The variable which is controlled.On a graph, the independent variable is on the x-axis (horizontal) and the dependent variable is on the y-axis (vertical).When we choose a value of x, the value of y depends on the x-value we chose.For instance, if we record the temperature every hour, time is the independent variable because we control the values. The temperature (which is measured) is the dependent variable because it depends on the time.
A dependent variable is something that depends on other factors. It is what gets measured and what is affected during an experiment. Without an independent variable there can be no dependent variable.
A dependent (responding) variable is a condition that can change as the result of an independent variable's alteration. It can also be referred to as an effect. Every well-designed experiment has three kinds of variables. 1) Control variables, which are the same for each stage of the experiment. 2) Independent (manipulated) variables, which represent what is being changed by experimenters. 3) Dependent (responding) variables, which respond to the change and ideally are the direct result of the change in the independent (manipulated) variables.
Independent variables, namely a quantity change will not cause except the dependent variable other than the amount of change. Only by the independent variables to a physical quantities to express, it is by the function relation is correct The dependent variable, a quantity change will cause in addition to other than the dependent variable amount change. Put the dependent variables as independent variable, is to determine the relationship between a big physical quantities. Variables, it is to point to have no fixed value, can change the number Constant DuoZhong type, and every type is there is a data type, have integers, bytes, characters, floating point, enumeration, etc.
If you measure the temperature every hour, then time is the independent variable (value), and temperature is the dependent variable (value).
Independent variable is time; dependent variable is temperature.
The dependent variable is the outcome or response that is being measured or observed in an experiment or study. It is dependent on the independent variable, which is the factor being manipulated or controlled by the researcher. Changes in the independent variable are expected to cause changes in the dependent variable.
The factor that changes in an experiment because of the manipulated variable is called the dependent variable. It is the variable that is measured or observed to see how it is affected by the changes in the manipulated variable.