Actually, I believe that you set out your hypothesis first. If your teacher has perhaps told you to set out your variables first, you may wish to direct her towards a reliable source of information like a textbook - all of mine explicitly say that you must first create a hypothesis to know what the variables are to be:
Your teacher is not wrong, but in all truth, the variables are implied by the hypothesis e.g.
You notice that the salmon have not returned to your local river this year. Your hypothesis:
The salmon have not returned due to abnormally low levels of oxygen in the water, caused by hot water ejected into the river by factories.
This implies that the variables should be:
Therefore, I do not understand how you can possibly define the variables without first defining the hypothesis. Surely it is only possible this way.
The only exception would be if you are blindly going about a random experiment. For example, you have been given 20 cm2 of HCl in concentrations of 0.1, 0.2, 0.3, 0.4 and 0.5 mol/dm3 and an excess of NaOH, 0.1 mol/dm3. You have a conical flask, a funnel and a burette (like a long thin cylinder of glass, with a controllable output, whereby you can determine exactly how much of the solution you are adding; similar, but more accurate, than a pipette). What do you do?
You say, I am going to titrate this acid and this alkali by measuring the amount of the alkali (the NaOH) which I add to the acid (the HCl) to neutralise it. You do the experiment, collect the data, and present it perhaps in a graph. I won't explain the experiment to you, as it may only confuse you.
In this case, you have some meaningless results. You attempt to solve this problem by making a conclusion and saying 'By increasing the concentration of the acid, more alkali is needed to neutralise it.'. Having said this, you will then have conducted an experiment without a hypothesis at all. However, from here, you may create a hypothesis to further the meaning of the experiment so that in future, the experiment can be carried out again, but with different parameters. Your hypothesis may be 'The greater the concentration of any acid, the greater the volume of an alkali needed to neutralise it.' Whereby you would carry the same experiment out, but with different acids etc.. The ultimate effect of the experiment is that you have blindly done one without a hypothesis.
You cannot base the hypothesis on anything other than an observation you have made (like the fact that light is reflected by shiny objects, for example). From the hypothesis, you can derive what the variables, including the control variables will be for the experiment.
I hope this answers your question.
Your question isn't valid because you need an experimental procedure in place before you determine the variables.
An antecedent variable is one that comes before the dependent variable. They stand by themselves, thus are independent.
domain is independent why? because its before range or also known as x/domain and y/range(x,y).
Independent variables are values that can be changed in a given model or equation. They provide the "input" which is modified by the model to change the "output."A scientist studies how many days people can eat soup until they get sick. The independent variable is the number of days of consuming soup. The dependent variable is the onset of illness.The independent variable is what causes the results.
To see if there is a linear relationship between the dependent and independent variables. The relationship may not be linear but of a higher degree polynomial, exponential, logarithmic etc. In that case the variable(s) may need to be transformed before carrying out a regression. It is also important to check that the data are homoscedastic, that is to say, the error (variance) remains the same across the values that the independent variable takes. If not, a transformation may be appropriate before starting a simple linear regression.
Your question isn't valid because you need an experimental procedure in place before you determine the variables.
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.
An antecedent variable is one that comes before the dependent variable. They stand by themselves, thus are independent.
To set up an experiment, first, clearly define the research question or hypothesis you want to test. Next, identify the variables involved, including independent and dependent variables, and establish a control group if applicable. Then, design the experiment by outlining the methodology, including materials, procedures, and data collection methods. Finally, conduct a trial run if possible to ensure the setup works as intended before carrying out the full experiment.
The three scientific variables are independent variables, dependent variables, and controlled variables. The independent variable is the variable that is manipulated or changed by the researcher. The dependent variable is the variable that is measured or observed in response to the changes in the independent variable. Controlled variables are the factors that are kept constant to ensure that they do not influence the relationship between the independent and dependent variables.
A correlation matrix for multiple regression analysis displays the pairwise correlation coefficients between all variables involved in the study, including both independent and dependent variables. This matrix helps to identify the strength and direction of relationships, allowing researchers to assess multicollinearity among the independent variables. A high correlation between independent variables may suggest redundancy, potentially affecting the regression model's stability and interpretability. Ultimately, the correlation matrix aids in understanding the interdependencies before conducting the regression analysis.
Question: What's a variable?Answer: A variable is an object, event, idea, feeling, time period, or any other type of category you are trying to measure. There are two types of variables-independent and dependent.Question: What's an independent variable?Answer: An independent variable is exactly what it sounds like. It is a variable that stands alone and isn't changed by the other variables you are trying to measure. For example, someone's age might be an independent variable. Other factors (such as what they eat, how much they go to school, how much television they watch) aren't going to change a person's age. In fact, when you are looking for some kind of relationship between variables you are trying to see if the independent variable causes some kind of change in the other variables, or dependent variables.Question: What's a dependent variable?Answer: Just like an independent variable, a dependent variable is exactly what it sounds like. It is something that depends on other factors. For example, a test score could be a dependent variable because it could change depending on several factors such as how much you studied, how much sleep you got the night before you took the test, or even how hungry you were when you took it. Usually when you are looking for a relationship between two things you are trying to find out what makes the dependent variable change the way it does.Many people have trouble remembering which is the independent variable and which is the dependent variable. An easy way to remember is to insert the names of the two variables you are using in this sentence in they way that makes the most sense. Then you can figure out which is the independent variable and which is the dependent variable:(Independent variable) causes a change in (Dependent Variable) and it isn't possible that (Dependent Variable) could cause a change in (Independent Variable).For example:(Time Spent Studying) causes a change in (Test Score) and it isn't possible that (Test Score) could cause a change in (Time Spent Studying).We see that "Time Spent Studying" must be the independent variable and "Test Score" must be the dependent variable because the sentence doesn't make sense the other way around.
"Before" is a subordinating conjunction that introduces a dependent clause. It is used to show the relationship between the dependent clause and the independent clause in a sentence.
An experiment should be designed with a clear hypothesis and defined variables, including independent, dependent, and controlled factors. It should incorporate randomization to reduce bias and ensure that results are statistically valid. The sample size must be adequate to provide reliable data, and the methodology should allow for reproducibility. Lastly, a thorough plan for data analysis should be established before conducting the experiment.
Conjunction
Before performing an experiment, you should know the independent variable, which is the factor you will manipulate to observe its effect on the dependent variable. Understanding this variable is crucial as it helps define the experimental design and ensures that you can isolate the effects of your manipulation. Additionally, having a clear hypothesis related to the independent variable can guide your experiment's objectives.
domain is independent why? because its before range or also known as x/domain and y/range(x,y).