Yes, think about cause and effect when thinking about this issue. Even to describe or observe a phenomena.
Yes, an independent/dependant relationship to two things would be heat/volume when working with gas. The volume of object increases as an object gets hotter however an object does not get hotter if the volume increases therefore the volume is dependant on the heat, this makes the volume the dependant variable. Therefore the heat has to be the independent variable.
In experimental design there are two variables, the independent variable and the dependent variable. You are allowed manipulate or change one variable to see how that affects results in an experiment you are conducting. Think of it as the variable Ican change. This is the i variable, the independent. The experiment will generate data that responds to these changes. This data is your dependent variable.
An independent variable is the variable that was changed. The dependant is what was measured. Eg. If you filled 3 cups of water - one with 1/4 of a cup, one with half a cup and one with 3/4 of a cup. Then you grab a spoon to find the highest note, then the amount of water is the independent variable and the sound is the dependant.
The independent variable is one that does not depend on the other variable. A dependent variable "depends" on the other variable. Think about the distance traveled by a car over time. You have two variables in that, time and distance. Now think about which depends on the other. Does time depend on distance? No. Time will keep going even if the car stops. Does distance depend on time? Yes. The more time that goes on, the more distance is traveled. So distance is the dependent variable, because it depends on time. Time is the independent variable because it doesn't depend on distance.
Independent is the thing that you are changing which is probably the food and the dependent is the thing is changing . I think. .....
Yes, think about cause and effect when thinking about this issue. Even to describe or observe a phenomena.
Yes.
variables that think too hard....
Yes, the dependent variable is influenced by changes in the independent variable. The relationship between the two variables is typically investigated through statistical analysis to determine the extent of this influence.
question is,what would YOU think?
A hypothesis should be written in a clear, testable statement that predicts the relationship between two variables. It typically follows an "if-then" format, where the independent variable is stated in the "if" part and the dependent variable is in the "then" part. It should be specific, measurable, and based on existing knowledge or theory.
come to think of it, we said that we are independent why should we then need the queen to stand over us? i think not........ perhaps she is..........
Predetermined variables are determined by factors in the past and cannot be changed, while exogenous variables are determined by factors outside the model being analyzed. Predetermined variables are considered to be endogenous in the context of a model, while exogenous variables are considered to be exogenous.
I think that like most people, Christians regard free range farming as a good thing and feel that people should buy free range produce where possible.
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.
They are the variables that you think predict some outcome (which is considered the dependent variable). So you might have a theory that gender and age predicts personal income. Gender and age are the independent variables, and income is the dependent. The choice of whether a variable is independent or dependent often is driven by the question you're trying to answer. So in many cases it's possible that the same variable could be an independent variable in one analysis, but a dependent variable in a different analysis. For example, while income was the dependent variable in the earlier example, if you were trying to predict whether a child goes to college, the parents' income might be an important independent variable in that case.