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.
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.
A negative temperature coefficient indicates that the dependent variable, the variable of interest increases when the temperature decreases and conversely. This could, for example, be the density of an object (excluding water at 0 - 4 deg C). As the temperature goes up the volume increases so the density decreases.
dependent variable improves (or increases) as independent variable increases
Heat will increase solubility of solids but not for gases, pressure will increase solubility of gases, surface area of solids increases solubility, agitation increases solubility. __________________________________________________________ Well it depends on what experiment you are doing but i say it would be between the independent variable and the dependent variable.
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.
Positive correlation means that, if something increases, a factor dependent on it also increases. However, if there is negative correlation, the dependent factor decreases.
More trials of the experiment.
More trials of the experiment.
It depends on the relationship, if any, between the independent and dependent variables.
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!
The thickness of the shell (lip) increases with the age. This is how you can determine the age of the conch.
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.