Ví dụ về việc sử dụng The independent variable trong Tiếng anh và bản dịch của chúng sang Tiếng việt
{-}
-
Colloquial
-
Ecclesiastic
-
Computer
It is called dependent because it“depends” on the independent variable.
The independent variable is the thing that is controlled or kept monitored by the scientist.
Designed for a second PVCpipe design clean cutting machine, the independent variable frequency speed.
The independent variable is the factor that is manipulated or controlled by the researcher.
A factor that causes the change in the total cost is referred to as the independent variable.
You are able to consider the independent variable as the one which causes some type of difference or effect to happen.
If you select Polynomial, type the highest power for the independent variable in the Order box.
Here the independent variable is types of health education and the dependent variable is changes in child feeding.
Whether a cost is a fixed cost, a variable cost,or a mixed cost depends on the independent variable.
The independent variable has a big effect on the entire experiment, and is very important in drawing the conclusion of the experiment.
A control group is a set of experimental samples or subjects that are kept separate andaren't exposed to the independent variable.
Causality is a necessity if the independent variable is time, but not all systems have time as an independent variable. .
It is typically needed to insert(i.e. quote)the worth of that function for an intermediate worth of the independent variable.
It is often required to interpolate(i.e. estimate)the value of that function for an intermediate value of the independent variable.
On the other hand, if the independent variable is the replacement cost of the factory buildings,the insurance cost will be a variable cost.
Usually, it is required to interpolate(i.e. estimate)the value of that function for an intermediate value of the independent variable.
The independent variable is the presence or absence of the fertilizer, while the dependent variable is the height of the plant or rate of growth.
A coefficient of correlation of +0.8 or-0.8 indicates a strong correlation between the independent variable and the dependent variable. .
Where is the state, is the control, is the independent variable(generally speaking, time), is the initial time, and is the terminal time. The terms and are called the endpoint cost and Lagrangian.
(This tells you that 64% of the change in the total of the dependent variable is associated with the change in the independent variable.).
In single variable calculus,a function is typically graphed with the horizontal axis representing the independent variable and the vertical axis representing the dependent variable.[1] In this function, y is the dependent variable and x is the independent variable.
An r of +0.20 or -0.20 indicates that only 4%(0.20 x 0.20)of the change in the dependent variable is explained by the change in the independent variable.
A related but distinct approach is Necessary Condition Analysis[1] NCAwhich estimates the maximum rather than averagevalue of the dependent variable for a given value of the independent variable ceiling line rather than central line in order to identify what value of the independent variable is necessary but not sufficient for a given value of the dependent variable. .
For example, in an experiment determining how much dosage of medicine is needed to cure a certain disease,the dosage is the independent variable, while the dependent variable is whether or not the disease is cured.
An r of +0.20 or -0.20 will result in an r-squared of only 4%(0.20 x 0.20), which means that only 4% of the change in the dependent variable is explained by the change in the independent variable.
When we're talking about experimental designs, and when we get into T tests and later in the course I will typically refer to Y as the dependent variable andI will refer to X as the independent variable. So you can think of this in those terms.
That he, in fact, treats these functions as continuous appears from his unspoken presumption that it is possible to determine avalue of the dependent variable corresponding to any value of the independent variable by the simple process of linear interpolation.[4].