There should be one dependent variables. Depending on the type of research you are doing, the amount of independent variables will change.
If you are doing research on a large scale, you will use more independent variables. If it's on a small scale, you will use very little. If you are not able to run your regression it means your sample size is too small or you have too many independent variables.
In an experiment, the conditions, variables, and procedures should closely resemble real-life situations to ensure the results are valid and applicable to the real world. This includes controlling for as many extraneous variables as possible and designing the experiment in a way that reflects the natural environment or scenario being studied.
It is recommended to only have one experimental variable in a scientific study to properly isolate its effects and draw valid conclusions. Multiple variables can complicate the results and make it difficult to determine which variable is responsible for the observed effects.
An experiment should test only one variable (the independent variable) at a time. If you are testing more than one variable at a time, you have no idea which variable is causing which effect.
It is recommended to test one variable at a time in an experiment to ensure that any observed effects can be attributed to that specific variable. This approach allows for clearer interpretation of results and helps to avoid confounding factors that might impact the outcome.
A controlled experiment involves manipulating one variable (independent variable) while keeping all other variables constant in order to observe the effect on another variable (dependent variable). This allows for causal relationships to be inferred between the independent and dependent variables. Control groups are used in controlled experiments to provide a baseline for comparison.
A experiment should only have one variable.
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To eliminate confounding variables, or variables that were not controlled and damaged the validity of the experiment by affecting the dependent and independent variable, the experimenter should plan ahead. They should run many checks before actually running an experiment.
ONE :)
Just one at a time
An experiment of any kind can have infinitely many variables. A controlled experiment can have just as many, provided that all but one are kept exactly the same.
It depends what kind of experiment you do. For some you just need one. For others you may change two variables. In most cases you only change one
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As few as possible.