<p>For each model and pacing rate, the accuracy of the linear regression is quantified by the coefficient of determination (R<sup>2</sup>) between the action potential duration values obtained through numerical integration (action potential model) and those computed by matrix multiplication (regression model). The mean R<sup>2</sup> is 0.968 with a range of 0.816–0.997.</p
Linear regression of lactate threshold power and average race power per LT concept for all subjects ...
<p>R<sup>2</sup> (the coefficient of determination) is a statistical measure of how close the data a...
<p>Regression coefficient (β) and coefficient of determination (R<sup>2</sup>) against the return of...
To assess the quality of the fit in a multiple linear regression, the coefficient of determination o...
Coefficient of determination, R-squared, in linear regression models was between consolidation time ...
To assess the quality of the fit in a multiple linear regression, the coefficient of determination o...
<p>Multivariable linear regression coefficient (95% confidence interval) for hormone concentrations ...
Linear regression analysis between 82 μm and 41 μm resolution is shown as coefficient of determinati...
<p>Coefficients of determination (R<sup>2</sup> values) for species-crop-specific multiple regressio...
Abstract: Coefficients of determination are popular reference points for assessing regression equati...
Regression analysis makes up a large part of supervised machine learning, and consists of the predic...
<p>Determination of coefficient R<sup>2</sup> = 0.9611; adjusted determination coefficient Adj R<sup...
a is the intercept, b is the slope of the regression. R2 is the coefficient of determination. R2 val...
The coefficient of determination (R2) is used for judging the goodness of fit in a linear regression...
<p>Values of RMS calculated as differences between predicted and observed values, <i>k</i> (regressi...
Linear regression of lactate threshold power and average race power per LT concept for all subjects ...
<p>R<sup>2</sup> (the coefficient of determination) is a statistical measure of how close the data a...
<p>Regression coefficient (β) and coefficient of determination (R<sup>2</sup>) against the return of...
To assess the quality of the fit in a multiple linear regression, the coefficient of determination o...
Coefficient of determination, R-squared, in linear regression models was between consolidation time ...
To assess the quality of the fit in a multiple linear regression, the coefficient of determination o...
<p>Multivariable linear regression coefficient (95% confidence interval) for hormone concentrations ...
Linear regression analysis between 82 μm and 41 μm resolution is shown as coefficient of determinati...
<p>Coefficients of determination (R<sup>2</sup> values) for species-crop-specific multiple regressio...
Abstract: Coefficients of determination are popular reference points for assessing regression equati...
Regression analysis makes up a large part of supervised machine learning, and consists of the predic...
<p>Determination of coefficient R<sup>2</sup> = 0.9611; adjusted determination coefficient Adj R<sup...
a is the intercept, b is the slope of the regression. R2 is the coefficient of determination. R2 val...
The coefficient of determination (R2) is used for judging the goodness of fit in a linear regression...
<p>Values of RMS calculated as differences between predicted and observed values, <i>k</i> (regressi...
Linear regression of lactate threshold power and average race power per LT concept for all subjects ...
<p>R<sup>2</sup> (the coefficient of determination) is a statistical measure of how close the data a...
<p>Regression coefficient (β) and coefficient of determination (R<sup>2</sup>) against the return of...