dependent variable in English

noun
1
a variable (often denoted by y ) whose value depends on that of another.
The next four columns show the estimates of models with the same independent variables and different dependent variables .

Use "dependent variable" in a sentence

Below are sample sentences containing the word "dependent variable" from the English Dictionary. We can refer to these sentence patterns for sentences in case of finding sample sentences with the word "dependent variable", or refer to the context using the word "dependent variable" in the English Dictionary.

1. Dependent variable: the development of infantile autism.

2. Linear Regression with Transformations of the dependent variable.

3. Is the dependent variable appropriate for the study?

4. The dependent variable is the mean percentage of correct Alternations

5. It can explain more of the variation in the dependent variable.

6. MIXED fixed effects sensitive to magnitude of dependent variable, floating point problems.

7. Are the criterion measures of the dependent variable appropriate, valid, and reliable?

8. Because of the extraneous and uncontrolled factors, those may affect the dependent variable.

9. In regression, we can have only one dependent variable in our estimating equation.

10. His master explanatory variable is market capitalism and his dependent variable is peasant rebellion.

11. A Codomain is the group of possible values that the dependent variable can take

12. Poisson regression is a regression model for analyzing the dependent variable of count data.

13. A functional is a kind of function where the dependent variable is itself a function.

14. In Anova, the dependent variable must be a continuous (interval or ratio) level of measurement

15. As a dependent variable, post-materialism is seen to be a symptom of economic modernization.

16. Codomain: A set of values that contains all the values a dependent variable can possibly be

17. A function is a dependent variable, whose value depends on the value of an independent variable.

18. Technically speaking, he tries to account for a dependent variable without relating it to any independent variables.

19. The Tobit model takes into account that the dependent variable is truncated and constrained to be non-negative.

20. The experimental variable was the dispersion of polygons and the dependent variable was the response time of every polygons.

21. Set up Stat Plot so that the Airspeed is your independent variable and the Lift is the dependent variable

22. Statistical control, in essence, consists of adjusting the dependent variable scores to remove the effect of the control variable.

23. Causality assumes that the value of an interdependent variable is the reason for the value of a dependent variable

24. The experimental variable was the dispersion of polygons, and the dependent variable was the rate of visual information transfer.

25. Dependent variable construct: Client record of the energy pulse in each of the seven main chakras of the two Reiki Beamings

26. Adjusted R square determines the extent of the variance of the dependent variable, which can be explained by the independent variable

27. 18 Therefore, the regression coefficient is often considered as a measure of the effect of the independent variable on the dependent variable.

28. Bivalent Experiments Click card to see definition 👆 -studies the effects of 2 values (or levels) of the independent variable on 1 dependent variable -best for truly …

29. In a multivariable analysis with ICU mortality as the dependent variable, a minimum protein C concentration less than 45% was an independent risk factor for ICU death.

30. Commonality analysis is a statistical technique within multiple linear regression that decomposes a model's R 2 statistic (i.e., explained variance) by all independent variables on a dependent variable in a multiple linear regression model into Commonality coefficients

31. Commonality analysis is a procedure for decomposing R 2 in multiple regression analyses into the percent of variance in the dependent variable associated with each independent variable uniquely, and the proportion of explained variance associated with the common effects of predictors