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In general, it is not possible to tell from a table. The determination must come from considering the relationship between the two and sometimes even then it is not possible to tell. Sometimes pairs of variables are linked together in a feedback loop so that a change in one causes the other to change which, in turn, affects the first, and so on - for ever.

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Q: Explain how to determine whether a set of values in a table is independent or dependent variable.?
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Where are the dependent and independent variables located on a graph explain with example?

The independent variable (such as time) is places on the x-axis of a graph. Always place the things that will never change on the x-axis. The dependent variable is then placed on the y-axis. The difference between the independent and dependent variable is that the independent variable in an experient does not change it is what stays constent, it is what is used to measure the dependent variable. On the other hand the dependent variable is what the experiment is testing for and what depends on the independent variable.


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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.


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In a scientific experiment there are different variables. Variables being the factors that you can alter to obtain your results. The independent variable is the factor that you directly alter and the dependent variable is the one that is affected by this. E.g. You pull a cart over 1m and measure the time taken. The force you exert is the independent variable as you are controlling it and time is the dependent variable because it is the variable that is affected by the force you exert. Like if you pulled it really hard the time taken would be really short, and if you pulled it gently the time taken would be really long, etc.


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Endogenous variables are important in econometrics and economic modeling because they show whether a variable causes a particular effect. Economists employ causal modeling to explain outcomes (dependent variables) based on a variety of factors (independent variables), and to determine to which extent a result can be attributed to an endogenous or exogenous cause.


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