Examples of using The dependent variable in English and their translations into Chinese
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The dependent variable, Y{\displaystyle Y}.
For example: In a data set, the dependent variable is binary(1 and 0).
Is the dependent variable, b{\displaystyle b}.
Real per capita gross state product is the dependent variable in this study.
The dependent variable is the time taken for the ice to melt.
Column 5 doesnot show any results for Coup d'état because the dependent variable did not vary.
The dependent variable is recorded as which stimulus was chosen to be the larger one.
A confounder is another, sometimes hidden, variable that affects the dependent variable.
Because the dependent variable sex has two possible values, this is an example of binary classification.
For instance, we could say height is the independent variable andweight is the dependent variable.
Here, the dependent variable is the time it takes for participants to say the correct color.
In simple linear regression, just one independent variable X is used to predict the value of the dependent variable Y.
The dependent variable is the participants' responses- whether they heard the tone or not.
For example, a function u that may be the dependent variable in a PDE(i.e., temperature, electric potential, pressure, etc.).
The dependent variable in the regression analysis is the number of goals scored by each side in each match.
So, ultimately, the independent variable is the one manipulated andits effects are reflected by the dependent variable.
In this case, the dependent variable is the accuracy of decoding the nonverbal communication.
Error Term: The variable in a simple ormultiple regression equation that contains unobserved factors that affect the dependent variable.
As before, T is the dependent variable, while x(x=(x, y, z)) and t are the independent variables.
In this case, the dependent variable is number of moves made that surpassthe minimum number necessary.
A beta variable could be price, gross domestic product, inflation rate,or any other condition whose changes over time affect the dependent variable in question.
In both cases, the dependent variable is the maximum number of digits they were able to repeat correctly.
In the ordinary least squares(OLS, by far the most common) formulation,there is an assumption that the error will occur in the dependent variable.
In this case, the dependent variable is the number of hidden functions that are discovered on the toy.
Interaction hypothesis definition: A hypothesis predicting that one independent variable changes the other independent variable's impact on the dependent variable.
The dependent variable is whether the participant leans down and touches the lamp with their head during the 20-s session.
When the independent variable of one function is the dependent variable of the other, neither function has a genuinely independent variable. .
However, in the context of feature extraction, one might wonder why we would define feature as the independent variable andfeature as the dependent variable.
Because, when the independent variable of one function is the dependent variable of the other, neither function has a genuinely independent variable. .