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to me I think that this pics of vends is good"The independent variable is the one that is changed by the scientist. Why just one? Well, if you changed more than one variable it would be hard to figure out which change is causing what you observe. For example, what if our scientific question was: "How does the size of a dog affect how much food it eats?" it show how it hard to fit variable and what it dost to a observing.

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My two pieces of evidence are...
1. If more than one variable is changed in an experiment, scientists cannot attribute the changes or differences in the results to one cause. By looking at and changing one variable at a time, the results can be directly attributed to the independent variable.
2. Sometimes it is impossible to just change one variable, and in those cases, scientists rely on more-complicated mathematical analysis and additional experiments to try to figure out what is going on.

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My answer is B.If you changed more than one variable it would be hard to figure out which change is causing what you observe."This detail shows how if we were to use more than one i dependent variable it would be more difficult to find out what's the cause.Another detail is in the text the author also states"Sometimes it is impossible to just change one variable, and in those cases, scientists rely on more-complicated mathematical analysis and additional.that how i got my answer B

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One flower  is small and one is big the one that's small had soda and the one that is big had water so they need figure out what is going on withe the flowers and in the text is says"The independent variable is the one that is changed by the scientist. Why just one? Well, if you changed more than one variable it would be hard to figure out which change is causing what you observe. " so this is what my answer is [B] {Jayden andujar}

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My answer is (B) To understand the cause of the results you are observing. One detail is in the text it states"Why just one? Well, if you changed more than one variable it would be hard to figure out which change is causing what you observe."This detail shows how if we were to use more than one idependent variable it would be more difficult to find out what's the cause.Another detail is in the text the author also states"Sometimes it is impossible to just change one variable, and in those cases, scientists rely on more-complicated mathematical analysis and additional experiments to try to figure out what is going on."This detail explains how if it is sometimes almost impossible just to change one variable it's has to be impossible to find out the cause for 2 variables.In conclusion the reason why I chose (B) is because if we were to use more than one variable it would be really difficult to find out the cause. (Jeremia Escoto)

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It important to have only one independent variable because its To understand the cause of the results you are observing.One example is,"Well, if you changed more than one variable it would be hard to figure out which change is causing what you observe".This empathize, that More than one variable is changed in an experiment scientist cannot do any changes or differences.Additionally,"For example, what if our scientific question was: "How does the size of a dog affect how much food it eats?"; then, during your feeding experiments you changed both the size of the dog and the time of day the dogs were fed". This illustrates, that  If you're testing two variables at a time, you won't be able to tell which variable was responsible for the result.In conclusion, this best explains that It important to have only one independent variable because its To understand the cause of the results you are observing.