Unstandardised (B) and Standardised (β) regression coefficients and squared semi-partial correlations (sr2) for each predictor in multiple regression analysis predicting matching performance d’.</p
Model 5: Regression coefficients from best-fitting linear model of matching judgments.</p
<p>Unstandardized coefficients derived from multiple regression models studying the association betw...
<p>*SE: standard error</p><p>Regression coefficients for the univariate and multiple variable model....
<p>B, partial regression coefficient; SE, standard error; β, standardized partial regression coeffic...
<p>B, partial regression coefficient; SE, standard error; β, standardized partial regression coeffic...
Coefficients for each predictor (and each degree of difficulty, as relevant) along with standard err...
<p>Mean squared errors and squared correlation coefficients produced by regression models.</p
<p>Note:</p><p><sup>1</sup>The standardised discriminant function coefficients serve the same purpos...
B denotes the unstandardised variable estimate. SE denotes the standard error of the variable estima...
Model fit statistics (R-squared, AIC and BIC) and mean squared prediction error from 10-fold cross v...
<p>Results of the linear multiple regression analyses showing the averaged standardized (beta) and u...
Coefficients for each predictor (and each degree of difficulty, as relevant) along with standard err...
Coefficients for each predictor (and each degree of difficulty, as relevant) along with standard err...
<p>Final models’ regression coefficients for each motor performance parameter—Multilevel regression ...
<p>Coefficient of determination R<sup>2</sup> (training set/validation set in the multivariate model...
Model 5: Regression coefficients from best-fitting linear model of matching judgments.</p
<p>Unstandardized coefficients derived from multiple regression models studying the association betw...
<p>*SE: standard error</p><p>Regression coefficients for the univariate and multiple variable model....
<p>B, partial regression coefficient; SE, standard error; β, standardized partial regression coeffic...
<p>B, partial regression coefficient; SE, standard error; β, standardized partial regression coeffic...
Coefficients for each predictor (and each degree of difficulty, as relevant) along with standard err...
<p>Mean squared errors and squared correlation coefficients produced by regression models.</p
<p>Note:</p><p><sup>1</sup>The standardised discriminant function coefficients serve the same purpos...
B denotes the unstandardised variable estimate. SE denotes the standard error of the variable estima...
Model fit statistics (R-squared, AIC and BIC) and mean squared prediction error from 10-fold cross v...
<p>Results of the linear multiple regression analyses showing the averaged standardized (beta) and u...
Coefficients for each predictor (and each degree of difficulty, as relevant) along with standard err...
Coefficients for each predictor (and each degree of difficulty, as relevant) along with standard err...
<p>Final models’ regression coefficients for each motor performance parameter—Multilevel regression ...
<p>Coefficient of determination R<sup>2</sup> (training set/validation set in the multivariate model...
Model 5: Regression coefficients from best-fitting linear model of matching judgments.</p
<p>Unstandardized coefficients derived from multiple regression models studying the association betw...
<p>*SE: standard error</p><p>Regression coefficients for the univariate and multiple variable model....
DOI