Mass is the independent variable and should be plotted on the x-axis.
The independent variable is the variable that the scientist controls and can change in an experiment. There should be only one independent variable in an experiment; otherwise the cause-and-effect of the independent variable cannot be determined.The dependent variable is the variable that is affected by the independent variable.EXAMPLE:Students of the same age have been given different sleeping hours (the independent variable)The next day they are tested for their performance (the dependent variable).(Having students the same age is a third type of variable, called the constant variable or the control variable. It is deliberately kept the same to reduce any effects on the outcome.)
The independent variable is the thing you are changing/varying. The dependent variable is the thing you are measuring. This variable should be affected by the independent variable. Control variables are anything that must be kept constant. If there are any other factors which affect the dependent variable, then these need to be controlled so that they do not have any significant effect (basically ensuring that you are actually measuring the effects of the independent variable).
temperature
An independent variable is the one that when plotted should go on the x-axis. The independent variable, as the name suggests, is not dependent on anything; if you're conducting an experiment, it would be the variable that you have control over to affect the results.
The independent variable is typically placed on the x-axis in a graph or chart.
Horizontal axis
On the y-axis (the bottom of the table)
in the first column on the left
Independent variable
An experiment should consist of an independent variable, which is the variable that is manipulated or changed by the researcher, and a dependent variable, which is the variable that is measured or observed to determine the effect of the independent variable.
Mass is the independent variable and should be plotted on the x-axis.
the independent variable goes on the x-axis the dependent goes on the y-axis
The independent variable is the variable that the scientist controls and can change in an experiment. There should be only one independent variable in an experiment; otherwise the cause-and-effect of the independent variable cannot be determined.The dependent variable is the variable that is affected by the independent variable.EXAMPLE:Students of the same age have been given different sleeping hours (the independent variable)The next day they are tested for their performance (the dependent variable).(Having students the same age is a third type of variable, called the constant variable or the control variable. It is deliberately kept the same to reduce any effects on the outcome.)
The only independent variable in Paola's experiment should have been the factor that she intentionally manipulated or varied in order to observe its effect on the dependent variable. This allows her to determine any causal relationships between the independent variable and the outcomes.
Yes, the dependent variable is the factor being measured or observed in an experiment or study to determine its relationship with the independent variable. It should be quantifiable or observable to assess the impact of the independent variable on it.
The independent variable is the thing you are changing/varying. The dependent variable is the thing you are measuring. This variable should be affected by the independent variable. Control variables are anything that must be kept constant. If there are any other factors which affect the dependent variable, then these need to be controlled so that they do not have any significant effect (basically ensuring that you are actually measuring the effects of the independent variable).