Examples of using Linear regression equations in English and their translations into Portuguese
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The specification of the linear regression equations that comprise the model is as follows.
The transversal deposition trial with trays aimed at characterizing the maximum reach of the transversal application distribution by means of linear regression equations.
The linear regression equations that explain the association between COP and age for each gender are shown in Table 3.
This modeling consists of the simultaneous estimation of a series of multiple linear regression equations, and it has some advantages over the classic linear regression. .
Linear regression equations were generated to estimate the stature of a person from a measure of their hand.
This modeling consists of the simultaneous estimation of a series of multiple linear regression equations, and it has some advantages over the classic linear regression 22 22 Byrne BM.
The linear regression equations described in the present study allow us to adjust TLCSBHD and RVSBHD values for airflow, predicting the lung volumes as measured by WBP.
Our results show that age has a negative influence on SNIP, as well as being a predictor of SNIP, andshould therefore be included in linear regression equations to determine reference values.
The linear regression equations that allow us to estimate TLCWBP and RVWBP values on the basis of TLCSBHD and RVSBHD values adjusted for the degree of airflow obstruction constitute an important contribution of our study.
Concordance analysis Bland& Altman analysis and linear regression equations for left ventricular ejection fraction and volumes as measured by three-dimensional echocardiography and computed tomography are shown in Graphs 1, 2 and 3.
The linear regression equations obtained through the analytical curve for the simultaneous analysis has excellent correlation coefficient values(r=0.997), just like the results obtained in the recuperation analysis(92.4 to 106%) when compared to the results obtained through the technique known as high performance liquid chromatography.
Multiple linear regression equation of the psychological domain of QOL and associated variables.
To calculate the simple linear regression equation.
However, since relevant collinearity was observed among height,weight and age, the linear regression equation is presented using only the variable height to predict Rint.
Oxygen consumption used in the present study was set at 60% of O2peak and calculated by linear regression equation.
Morphological analysis allows an investigation of the biometric data obtained from the body dimensions which are analyzed based on a mathematical relationship through correlation and linear regression equation.
Correlation analysis Pearson:r and linear regression equation for the comparison between left ventricular volumes and ejection fraction as measured by three-dimensional echocardiography and computed tomography are shown in Table 2.
From the linear regression equation relating absorbance and gallic acid concentration y=0.0578 x -0.0348, it was calculated that a solution of 12.5mg/mL of ECL contained 4.94mg/mL approximatively 39.5% of gallic acid equivalents.
The VE/VCO2 slope was calculated by means of a linear regression equation, from the start of the test to the anaerobic threshold, using the values of the minute ventilation elevation relative to the output of carbon dioxide.
A linear regression equation was determined considering the MIP operationalized by inspiratory MMP, MEP operationalized by expiratory MMP and SNIP inspiratory PIP from the UFMG manovacuometer as dependent variable Y and MIP, MEP and SNIP from the MicroRPMr manovacuometer as independent variable X. SPSS version 15.0 and GraphPad Prism 5 statistical packages were used.
The DVO2/DW ratio slope was calculated by means of the linear regression equation, from the beginning of the test to the anaerobic threshold, using the oxygen uptake DVO2 values increase relative to the workload DW elevation.
The results showed that the multiple regression equations with linear adjustment, considering altitude, latitude and longitude, were satisfactorily estimated of the normal average temperatures, maximum and minimum monthly and annual.