There is not enough information to say much. To start with, the correlation may not be significant. Furthermore, a linear relationship may not be an appropriate model. If you assume that a linear model is appropriate and if you assume that there is evidence to indicate that the correlation is significant (by this time you might as well assume anything you want!) then you could say that the dependent variable increases by 1.67 for every unit change in the independent variable - within the range of the independent variable.
The truth is that you can't actually answer, given the information you have. But that's not the answer you are looking for! So, the equation you have is y = 6x+8. There are two variables here, x and y. If you know what x is, you can calculate y as follows: you multiply x by 6 then add 8. So if x is 2, then 6 lots of x is 12, and adding 8 we get 20. So y is 20. The general expression y = mx + c describes a linear relationship between two variables - m is referred to as the gradient and c is called the intercept. This is because if each of the pairs of x and y (e.g. x=2 and y=20 above), the line which join them intercepts (crosses) the y axis at 'c' and has a gradient (steepness) of 'm' (i.e. as you move one unit along the x axis, you go 'm' units up the y axis). So which is dependent and which is independent? Earlier, we calculated y from x. This is the easiest thing to do with this equation. We can say that 'y is dependent on x' or 'x is the independent variable'. Mathematically speaking, though, we could just rearrange the equation (you can see that x = (y-8)/6 by taking 8 away from both sides and dividing both sides by 6). Then it looks like we've switched which one is dependent and independent. But we haven't really - and that is because you are not really asking a maths question, to do with equations, but a science question, to do with causes and effects. In science, we often choose what x's we will use and measure the y's. *This* makes y dependent, but only if we choose it properly - it should actually change as a result of changing the x. So y could be 'reading age' and x could be 'actual age in years'. Most people's reading age increases as they get older (at least up to a certain age). But it is how old they are that is causing their reading age to increase. So we would say that 'actual age in years' is the independent variable and 'reading age' is the dependent variable (because it depends on their actual age). And so if we were doing an investigation into this relationship, it would be conventional to call the 'actual age in years' x and the 'reading age' y. It is normal to call the independent variable 'x' and the dependent variable 'y'. I think that's what you really want to know, but it is important to know why.
The vertical is typically the dependent variable (the result of whatever process is causing the event). It could be distance traveled of a projectile, or temperature of a mixed solution, for example.
The unknown value of the variable could be greater, less or even equal to 12.50
This X2/X = X ==========yes X/3 = ?????? ==============No Yes it can. However, dividing by a variable doesn't always work since the variable could evaluate to zero, and you cannot divide by zero. Similar is true if the non-variable is zero.
The three types of variables are: Independent: it is the one that you manipulate Dependent: the one that reacts to the changes in the independent variable and is measured in a experiment Control: all the other factors that could affect the dependent variable but are kept constant through out an experiment
The independent variable.
An independent variable is the variable you can change in an experiment. On a graph, it's on the X-axis. A dependent variable is the result of changing the independent variable. It is literally dependent on it. The dependent variable goes on the Y-axis.
The dependent variable in a static electricity experiment could be the amount of charge transferred, the strength of the electric field, or the distance of the spark produced. It is the variable that is measured and affected by changes in the independent variable.
Temperature can be both an independent variable, where it is manipulated to observe its effect on other variables, or a dependent variable, where it is measured as an outcome of other factors. The role of temperature as a dependent variable or independent variable depends on the specific research context.
The dependent variable in a petri dish experiment could be the growth of microorganisms, the color change of a chemical reaction, or any other measurable outcome that changes in response to the independent variable being tested.
No, a dependent variable is the outcome or response in an experiment that is being studied but cannot be directly manipulated or changed. It is typically affected by the independent variable, which is the one that is manipulated to observe its effect on the dependent variable.
would homelessness be a dependent variable
The dependent variable for a tornado in a bottle experiment could be the speed of the tornado rotation or the duration of the tornado formation. This variable would be affected by the independent variables being manipulated in the experiment, such as the amount of water or the speed of the vortex created.
The independent variable is the one factor that will be manipulate or changed during the experiment....The dependent variable is the variable that becomes altered as a result of the change that was made in the independent variable...
The dependent variable in a lava lamp experiment could be the height of the blobs or the speed at which they move up and down. The dependent variable is the aspect of the lava lamp's behavior that is being measured and potentially affected by changes in the independent variable.
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.