Rate of Change
You have already assumed the information in the table is linear in nature. Given that information, the constant rate of change is the ratio of the amount of change in the dependent variable compared to the amount of change of the independent variable. Put a simpler way, it is change in y divided by change in x.
The quantity of coffee that is consumed per some measure of time within a period starting some fixed amount of time before the test. Ideally, any study should also take account of the strength of the coffee, and the body mass of the consumer.
Correlation determines relationship between two variables. For example changes in one variable influence another variable, we can say that there is a correlation between the two variables. For example, we can say that there exists a correlation between the number of hours spent on reading and preparation and the scores obtained in the examination. One can infer that higher the amount of time spent on preparation may result in better performance in examination leading to higher scores. Hence the above is a case of positive correlation. If an increase in independent variable leads to an increase in dependent variable, it is a case of positive correlation. On the other hand if an increase in independent variable leads to a reduction in dependent variable, it is a case of negative correlation. An example for negative correlation could be the relationship between the age advancement and resistance to diseases. As age advances, resistance to disease reduces.
(final amount/original amount)*100 This is NOT the percentage change.
Percentage error.
rate of change. :)
rate of change. :)
A dependent variable is the variable being tested in a scientific experiment.The dependent variable is 'dependent' on the independent variable. As the experimenter changes the independent variable, the change in the dependent variable is observed and recorded.For example, a scientist is testing the effect of light and dark on the behavior of moths by turning a light on and off. The independent variable is the amount of light and the moth's reaction is the dependent variable.
The independent variable in an controlled experiment is what you are changing (for example, amount of water or sunlight a plant gets). The dependent variable changes because of the independent variable. Its the outcome of the independent variable.
Pounds is a unit. Amount of pounds sold could be an independent variable (and money made being the dependent variable). On the other hand, amount of pounds sold could be the dependent variable, and time could be the dependent variable. Pounds is just a unit.
The independent variable is the number of tickets purchased and the dependent variable is the amount of money spent.
The controlled variable is the penny. The independent variable is the water. The dependent variable is the amount of water able to fit on the penny.
a dependent variable is something that you cannot change but comes out as a result/an independent variable is something that you change in your experiment like the temperature of something or the amount of something
a dependent variable is something that you cannot change but comes out as a result/an independent variable is something that you change in your experiment like the temperature of something or the amount of something
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a dependent variable is something that you cannot change but comes out as a result/an independent variable is something that you change in your experiment like the temperature of something or the amount of something
a dependent variable is something that you cannot change but comes out as a result/an independent variable is something that you change in your experiment like the temperature of something or the amount of something