Total Cost (T) = Fixed Cost (F) plus Variable Cost (V) or T = F + V. The dependent variable is T because as F & V change, T depends on the values of F & V. The independent variables (plural; two) are F & V. F and V change independent of T. You can also think of the above as cause (independent) and effect (dependent). The cause of F & V changing has the effect of T changing. So, in the above equation, there are two independent variables; F & V.
A variable is a very important thing when you are doing an experiment. These are things that have an effect on the experiment. There are three categories of variables in math:The controlled variable: variable the never changesThe manipulated variable: variable that does changeThe responding variable: the result of the experiment
Moderation occurs when the relationship between two variable depends on a third variable. The third variable is referred to as the moderate variable or simply the moderator
makeing the correlation spurious
No it doesn't. Cause and effect is not demonstrated with regression, it only shows that the variables differ together. One variable could be affecting another or the affects could be coming from the way the data is defined.
That will result in "replications" of the experiment.
If none of the variables are constant (or controls) you have no idea which variable or combination of variables caused the effect.
Controlled experiment. The thing you change is called the independent variable and the constants are the dependent variables. By only changing the independent variable, any results can be attributed to this.
The independent variable is the thing you are changing/varying. The dependent variable is the thing you are measuring. This variable should be affected by the independent variable. Control variables are anything that must be kept constant. If there are any other factors which affect the dependent variable, then these need to be controlled so that they do not have any significant effect (basically ensuring that you are actually measuring the effects of the independent variable).
The object you are testing in a hypothesisThe Independant or manipulated variable is what 'I' or you are changing....if you are measuring the effect of fertilizer on plant height, the Independant variable is the presence/absence of fertilizer.
The variable YOU change which will in turn effect another variable (the dependent variable). The controlled variable is plotted on the x - axis of a graph.
A dependent (responding) variable is a condition that can change as the result of an independent variable's alteration. It can also be referred to as an effect. Every well-designed experiment has three kinds of variables. 1) Control variables, which are the same for each stage of the experiment. 2) Independent (manipulated) variables, which represent what is being changed by experimenters. 3) Dependent (responding) variables, which respond to the change and ideally are the direct result of the change in the independent (manipulated) variables.
Variables used in an experiment or modelling can be divided into three types: "dependent variable", "independent variable", or other.The "dependent variable" represents the output or effect, or is tested to see if it is the effect.The "independent variables" represent the inputs or causes, or are tested to see if they are the cause. Other variables may also be observed for various reasons.
If you're performing an experiment in which your result depends on multiple variables, but you're just interested in how one of those variables effects the result, you would generally keep all of the other variables constant in order to negate their effects. Those variables that you're keeping constant are called control variables, and you would choose them based on the experiment. For example, say you wanted to determine how changes in resistance effect a circuit's current. Well, current is dependent on not only resistance, but voltage as well, and since you're only interested in the effects of resistance, you would make voltage the control variable, keeping it constant.
I want to know the role of variables in the qualitative research design Independent Variable: It is the variable presumed to affect the dependent variable. It is the variable manipulated by the researcher to create an effect on the dependent variable. It is also known as "the treatment." Dependent Variable: The presumed effect that changes with a change in the independent variable. The "effect," "outcome," "response," or where one looks to see the influence of the independent variable. Extraneous Variable: Variable other than the independent variable that may bear any effect on the behavior of the subject being studied: http://en.wikipedia.org/wiki/Extraneous_variable Research Variable: May be used when the study is observing or measuring variables without looking at cause-effect relationships. May be used when there is no specific expectation of one variable influencing the other. The variables' definitions do not change, only the design. And where you cannot QUANITFY the data, you QUALIFY it, describe it, find common major themes, and classify it.