Examples of 'multivariate regression' in a sentence
Meaning of "multivariate regression"
Multivariate regression is a statistical technique used to analyze the relationship between multiple independent variables and a dependent variable. It helps identify and quantify the impact of these variables on the outcome, allowing for a deeper understanding of complex relationships. This method is commonly used in fields like economics, social sciences, and data analysis to model and predict outcomes
How to use "multivariate regression" in a sentence
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multivariate regression
Those concepts apply in multivariate regression models too.
A multivariate regression was performed with all the selected factors.
When there is more than one predictor variable in a multivariate regression.
Three multivariate regression analyses were made.
The second stage of the analysis consisted of a series of multivariate regression analyses.
The multivariate regression model was adjusted through a stepwise method.
To identify how the residents of the regions perceive tourism applied to multivariate regression.
Multivariate regression is a technique that estimates a single regression model.
The carotid atherosclerosis plaque variables were identified in univariate and multivariate regression analysis.
Multivariate regression methods.
Alternatively the change in the relevant variables can be estimated using multivariate regression analysis.
Multivariate regression model.
I can do a dance like this or do Multivariate Regression Modelling like this.
Multivariate regression analysis revealed a satisfactory coefficient with a narrow confidence interval.
Tobit Regression Models In the context of the standard multivariate regression model.
See also
Eight separate multivariate regression models were fitted for each outcome.
The most frequently used method, multivariate regression.
Univariate linear and multivariate regression analyses were performed where appropriate.
Descriptive analysis of data was performed, followed by simple and multivariate regression.
Multivariate regression analyses were performed to identify risk factors associated with hyponatremia.
Table 5 shows the final multivariate regression model.
A multivariate regression model was performed for the weight loss percentages evolution.
Table 5 presents the results of the multivariate regression analysis.
Results of our multivariate regression show the interrelation between trust and decentralization.
Thus, all the assumptions of the multivariate regression model were met.
Univariate and multivariate regression analyses were performed to determine predictors of coronary heart disease.
Panel 2 was then defined based on the best performing multivariate regression model.
The results of the multivariate regression analysis showed the interaction of these variables.
However, neither maternal nor fathers ' educational level were retained in the final multivariate regression model.
Alternatively neuronal net or multivariate regression methods or combinations of these methods may be used.
The method of Claim 39 wherein said algorithm involves multivariate regression analysis.
Multivariate regression modelling was used to find determinants of deteriorated HRQoL and cost drivers.
Twenty-one studies used multivariate regression to adjust for confounding.
The spectrophotometer of Claim 65 wherein said algorithm involves multivariate regression analysis.
OLS multivariate regression models are applied in order to test the hypotheses of this study.
In Calc, it is now possible to do multivariate regression analysis using.
The multivariate regression had the following outcomes, osteoporosis, osteopenia and any fracture.
In Calc, it is now possible to do multivariate regression analysis using the regression tool.
On multivariate regression analysis, CRP emerged as an independent predictor of AoS severity.
Statistical analysis included measures of frequency, bivariate analysis, and Poisson multivariate regression analysis.
Our best-fit multivariate regression equation was.
Fourier Transformed Infrared (FTIR) spectroscopy followed by multivariate regression methods.
Next, a multivariate regression model establishes the conditions under which the target species can survive.
The standardized coefficients of the multivariate regression are found in Appendix II-1.
Multivariate regression is different from Multivariable regression, which has just one dependent variable.
Table 5 shows the final Poisson multivariate regression model for explaining influenza vaccine uptake.
Multivariate regression methods are insensitive to the sign of predictors . ”.
Variables that showed values of p < 0.1 in univariate models were analyzed by multivariate regression.
The results of multivariate regression model are presented in Table 5.
Estimates were standardized for sex, age, and race / ethnicity and analyzed by multivariate regression.
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It does not engage in multivariate analysis or extensive interpretation
Multivariate analysis was performed by means of logistic regression
To answer this question a multivariate analysis was performed
