The pulse rate, since it's dependent on the quantity of caffeine, which is the changeable, independent variable.
It is an observable phenomenon that changes in response to temperature. For example, if we raise the temperature of a metal wire, it will begin to emit radiation which increases in frequency as the temperature increases. The radiation frequency is the dependent variable here.In any event, you the experimenter determine which variables you wish to study. If you believe that but one variable might depend on temperature, be aware that's nonsense!
Direct proportion means as the independent variable increases, the dependent variable increases, and vice versa. Inverse propostion means just the opposite. As the independent variable increses, the dependent variable decreases, and vice versa.
Temperature is typically an independent variable used a lot of experiments. Say, for example, you are trying to see how temperature affects the growth rate of bacteria. You would know the values of temperature being used in the experiment because you are either increasing the temperature or decreasing it. The growth rate of the bacteria would be dependent on the temperature because increases and decreases in temperature could affect growth rate. In essence, the independent variable is typically the component you control in an experiment.
In an experiment examining the effects of fertilizer and soil on flower production, the independent variables would be the type or amount of fertilizer used and the type or quality of soil. These factors are manipulated to observe their impact on flower production, which would be the dependent variable. By altering these independent variables, researchers can assess how they influence the number or health of the flowers produced.
As the number of times that the experiment is conducted increases, the experimental probability will near the theoretical probability - unless there is a problem with the theoretical model.
dependent variable improves (or increases) as independent variable increases
Repeated trials of said experiment.
Depends on the relationship between the independent and dependent variables.
The dependent variable has an inverse linear relationship with the dependent variable. When the dependent increases, the independent decreases, and conversely.
A dependent variable is a variable dependent on the independent variable. A control variable is something you want to try to keep the same. A dependent variable is something you measure. An independent variable is something you change.
Positive correlation means that, if something increases, a factor dependent on it also increases. However, if there is negative correlation, the dependent factor decreases.
A dependent variable increases when an independent variable increases in a direct relationship. This means that as one variable increases, the other variable also increases.
It depends on the relationship, if any, between the independent and dependent variables.
More trials of the experiment.
More trials of the experiment.
It is an observable phenomenon that changes in response to temperature. For example, if we raise the temperature of a metal wire, it will begin to emit radiation which increases in frequency as the temperature increases. The radiation frequency is the dependent variable here.In any event, you the experimenter determine which variables you wish to study. If you believe that but one variable might depend on temperature, be aware that's nonsense!
Limiting factors whose effects increase as the size of the population increases are known as density-dependent factors. Competition is an example of a density-dependent limiting factor.