Examples of using Dependent variable in English and their translations into Turkish
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You track the dependent variables.
The dependent variable is changed in response to changes in the independent variables. .
So what is my change in my dependent variable?
So how much does a dependent variable change for any amount of change of the independent variable? .
When our independant variable increases and our dependent variable decreases.
So let's call the independent variable x, the dependent variable y.
The dimension of a vector ordinary differentialequation is simply the dimension of the vector dependent variable, or the vector function.
Just remember this is the independent variable and this is the dependent variable.
This might be a little unusual for you, for me to draw the x-axis in the vertical,but that's because x is the dependent variable in this situation.
Or just because we're always used to writing the dependent variable on the left-hand side, we could rewrite this as x is equal to negative y plus 4.
The interesting thing here is we are facing a situation where knowledge ofvariable C renders previously independent variables dependent.
Complex functions==A complexfunction is one in which the independent variable and the dependent variable are both complex numbers.
In this situation, the dependent variable is the amount of money you make because it isdependent on how much time you work, this is independent.
So just as a bit of review,slope just equals the change in the dependent variable divided by the change in the independent variable. .
Writing VAR("p") as VAR(1)===A VAR with"p" lags can always be equivalently rewritten as a VAR with only onelag by appropriately redefining the dependent variable.
So whatever the output is I'm going to set that equal to our dependent variable and plot it on the vertical axis and we call that dependent variable y.
And then you immediately see that even if this wasn't a squared here, you would be multiplying the y times dy dx,and that also makes it non-linear because you're multiplying the dependent variable times the derivative of itself.
In both types of studies, the effect of differences of an independent variable(or variables)on the behavior of the dependent variable are observed.
When we see solutions, all the so-called solutions put forward to global warming, the thing they all have in common is that they take industrial civilization as a given,and they take the natural world as the dependent variable.
So the East Asian model has this massive selection bias--it is known as selecting on a dependent variable, something we always tell our students to avoid.
For any complex function, both the independent variable and the dependent variable may be separated into real and imaginary parts:: formula_1 and: formula_2: where formula_3 and formula_4 are real-valued functions.
A common goal for a statistical research project is to investigate causality, and in particular to draw a conclusion on theeffect of changes in the values of predictors or independent variables on dependent variables.
Model selection is a statistical method for selecting a distribution function within a class of them; e.g.,in linear regression where the dependent variable is a polynomial of the independent variable with parametric coefficients, model selection is selecting the highest exponent, and may be done with nonparametric means, such as with cross validation.
Experimental and observational studies===A common goal for a statistical research project is to investigate causality, and in particular to draw a conclusion on the effect of changes in the values of predictors orindependent variables on dependent variables or response.
Mathematically, if we denote time by the variable t{\displaystyle t}, and speed by v{\displaystyle v}, then the function plotted in the graph would be denoted v( t){\displaystyle v(t)}indicating that v{\displaystyle v}(the dependent variable) is a function of t{\displaystyle t.
Similarly, any structure like this renders the left variable and the right variable dependent unless the center variable is known, in which case the left and right variable become independent.
Of propeller efficiencies dependent on variable pitch and shape.
Segmented regression with confidence analysis may yield the result that the dependent or response variable(say Y) behaves differently in the various segments.
Any chain of 3 variables like this makes the initial and final variable dependent if all variables are unknown.
If this variable is known for a Bayes network that converges into a single variable, then this variable and this variable over here become dependent.