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.
An independent variable is the variable you have control over, what you can choose and manipulate. It is usually what you think will affect the dependent variable. In some cases, you may not be able to manipulate the independent variable. It may be something that is already there and is fixed, something you would like to evaluate with respect to how it affects something else, the dependent variable like color, kind, time. Example: You are interested in how stress affects heart rate in humans. Your independent variable would be the stress and the dependent variable would be the heart rate. You can directly manipulate stress levels in your human subjects and measure how those stress levels change heart rate.
A straight line on a graph indicates a linear relationship between the dependent variable and the independent variable. This means that as the independent variable changes, the dependent variable changes at a constant rate. The slope of the line represents the rate of change, while the y-intercept indicates the value of the dependent variable when the independent variable is zero.
Time is the independent variable.
Dependent variable: growth of crystals Independent variable: temperature.
See link for the Wikipedia article. The dependent variable is sometimes called response variable, or outcome variable. During what year of school, K thru 12, do kids experience the greatest average change in height (or weight)? You are "manipulating" what year of school a child is in. You aren't making any changes on this-- this is just your independent variable. You are going to measure height change for each child, so a starting and ending measure is needed. Height is the dependent variable.
A dependent variable is what you measure in the experiment and what is affected during the experiment. The dependent variable responds to the independent variable. It is called dependent because it "depends" on the independent variable. In a scientific experiment, you cannot have a dependent variable without an independent variable. Example: You are interested in how stress affects heart rate in humans. Your independent variable would be the stress and the dependent variable would be the heart rate. You can directly manipulate stress levels in your human subjects and measure how those stress levels change heart rate.
An independent variable is the variable you have control over, what you can choose and manipulate. It is usually what you think will affect the dependent variable. In some cases, you may not be able to manipulate the independent variable. It may be something that is already there and is fixed, something you would like to evaluate with respect to how it affects something else, the dependent variable like color, kind, time. Example: You are interested in how stress affects heart rate in humans. Your independent variable would be the stress and the dependent variable would be the heart rate. You can directly manipulate stress levels in your human subjects and measure how those stress levels change heart rate.
In this hypothesis, the independent variable is the water temperature, as it is the factor being manipulated to observe its effect. The dependent variable is the heart rate of the fish, as it is the outcome being measured to assess the impact of the temperature changes.
A straight line on a graph indicates a linear relationship between the dependent variable and the independent variable. This means that as the independent variable changes, the dependent variable changes at a constant rate. The slope of the line represents the rate of change, while the y-intercept indicates the value of the dependent variable when the independent variable is zero.
Time is the independent variable.
Dependent variable: growth of crystals Independent variable: temperature.
independent
See link for the Wikipedia article. The dependent variable is sometimes called response variable, or outcome variable. During what year of school, K thru 12, do kids experience the greatest average change in height (or weight)? You are "manipulating" what year of school a child is in. You aren't making any changes on this-- this is just your independent variable. You are going to measure height change for each child, so a starting and ending measure is needed. Height is the dependent variable.
The independent variable in this experiment is the different brands of fertilizer being tested. The dependent variable is the rate of plant growth, which will be measured and influenced by the independent variable.
A straight line on a graph indicates a linear relationship between the dependent variable and the independent variable. This means that as the independent variable changes, the dependent variable changes at a constant rate. The slope of the line represents this rate of change, while the y-intercept indicates the value of the dependent variable when the independent variable is zero. Overall, a straight line signifies predictability and a consistent correlation between the two variables.
An independent variable is the variable you can change in an experiment. On a graph, it's on the X-axis. A dependent variable is the result of changing the independent variable. It is literally dependent on it. The dependent variable goes on the Y-axis.
Rate of Change