Yes, the dependent variable changes based on the independent variable in an experiment or study. The independent variable is manipulated or controlled to observe its effect on the dependent variable, which is measured or recorded. This relationship helps researchers understand how variations in the independent variable influence outcomes in the dependent variable.
A dependent variable is one that changes based on changes of the independent variable. Or we can say it depends on whatever happens to the independent variable.
Not exactly sure what you mean by "can't change." However, I if I do understand you correctly, the dependent variable CAN change. The dependent variable will change according to the independent variable's value and overall effect. For example, in an experiment involving water's effect on plants, the dependent variable may be the height of the plant or the glucose produced. Based on the amount of the independent variable (represented on the x axis of a data graph), the dependent variable will increase or decrease. In this case, both dependent values (glucose and height) would probably increase.
Independent variables can take values within a given boundary. The dependent variable will take values based on the independent variable and a given relationship at which the former can take its values.
When one variable is said to be dependent on another, it means that the value of the dependent variable is influenced or determined by changes in the other variable, known as the independent variable. For example, in a relationship where an increase in temperature (independent variable) leads to an increase in ice cream sales (dependent variable), ice cream sales vary based on the temperature. This relationship highlights causation or correlation between the two variables.
A heart rate is typically considered a dependent variable in experiments where it is measured in response to changes in another variable, such as exercise intensity or stress levels. In such cases, the heart rate changes based on the influence of the independent variable. However, if heart rate is the variable being manipulated or controlled, it would be the independent variable in that context.
the dependent variable changes based on the independent variable
The Independent/Manipulative variable is the variable that you purposely change, and the Dependent/Responsive variable is the variable that changes as a rest of the Independent variable. You measure the dependent variable to see the effects of the Independent variable.
The dependent variable is the outcome or response in an experiment that is being measured and analyzed. It is the variable that is expected to change based on the manipulation of the independent variable.
A dependent variable is one that changes based on changes of the independent variable. Or we can say it depends on whatever happens to the independent variable.
In an experiment, the condition manipulated by a biologist is known as the independent variable. The condition that changes based upon how the independent variable was manipulated is known as the dependent variable.
Not exactly sure what you mean by "can't change." However, I if I do understand you correctly, the dependent variable CAN change. The dependent variable will change according to the independent variable's value and overall effect. For example, in an experiment involving water's effect on plants, the dependent variable may be the height of the plant or the glucose produced. Based on the amount of the independent variable (represented on the x axis of a data graph), the dependent variable will increase or decrease. In this case, both dependent values (glucose and height) would probably increase.
A dependent variable is the outcome that is being measured or tested in an experiment or study. It is influenced by the independent variable, which is the variable that is manipulated. The dependent variable is what researchers are trying to understand or predict based on the changes in the independent variable.
Independent variables can take values within a given boundary. The dependent variable will take values based on the independent variable and a given relationship at which the former can take its values.
Time is an independent variable because it is affected only by when you decide to stop to read its position (not affected by the position). However, time is a dependent variable since the time you record it affects its result. In simpler terms, independent variable is something you can change to alter the dependent variable. You can change the time (0s to 15s etc.) but you cannot change the position.
Independent variables can take values within a given boundary. The dependent variable will take values based on the independent variable and a given relationship at which the former can take its values.
This is the variable which changes as a result of what you change in the experiment. If you change the height from which you drop a ball, you may observe the height to which it bounces. The height of the bounce is the outcome variable.
Independent variables can take values within a given boundary. The dependent variable will take values based on the independent variable and a given relationship at which the former can take its values.