Examples of using Simple linear regression model in English and their translations into Portuguese
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Simple linear regression models were used for obtaining beta coefficients,
Simple linear regression models were estimated, defined as Y=?+?
Simple linear regression models were used to assess temporal variation of the continuous variables in the years of monitoring.
The certain mineral concentrations were used for the preparation of simple linear regression models using the time in days as an independent variable.
Simple linear regression models were constructed with each of the variables,
The trend analysis of the rates 1 stage was conducted by means of simple linear regression models.
Analysis of the tendency of the indicators over time was carried out using simple linear regression models.
A trend analysis of mortality rates was performed using simple linear regression models.
KDCS were analyzed using simple linear regression models.
We calculated the annual ratio between standardized male/female rates and evaluated changes in this relationship throughout the years using simple linear regression models.
The relationship between norepinephrine obtained from biopsies with the LVEF was separately studied by means of simple linear regression models in the groups of patients with Chagas' cardiomyopathy and with coronary artery disease; p.
Simple linear regression models were created for the mortality rate data adjusted for age bracket y according to the variable year x. The equations of the models found,
pearson correlation in the areas that make up the scale ies-r; simple linear regression models we used to assess jointly the effect of time of receiving the diagnosis of viable and unviable congenital anomalies, along with the total score and domains of ies-r scale. results.
The trends were estimated by means of a simple linear regression model, in which the response variable Yi is the indicator proportion
this method is an extension of the simple linear regression model, and makes it possible to study the relation between several different variables in this case:
Mineral concentrations were used for the preparation of simple linear regression models using the time in days as independent variable. the regression coefficients and respective intercepts were compared between experimental groups.
The analysis of tendency was executed through the model of simple linear regression, choosing as dependent variable the coefficient of mortality
In addition to the analysis on the multiple linear regression model, a simple regression model between the risk and the total number of pins T placed was analyzed, given by.
The first tested model was the simple linear regression 0+?1X, followed by the higher-order models.
after nasal vasoconstriction, from the model of simple linear regression.