<p>Note: <i>c<sub>r</sub></i> and <i>c<sub>s</sub></i> are the cues for roughness and shape, respectively; <i>d<sub>r</sub></i> and <i>d<sub>s</sub></i> are the disruptions for roughness and shape, respectively.</p>**<p><i>p</i><0.01.</p
Model parameters for the 70 mixed-effects linear regression models based on the decathlon dataset.</...
<p>a) Subject <i>d</i>′ plotted against fitted model <i>d</i>′ for both LOS and HOS models, denoted ...
<p>The “+” symbols show the relationships with a linear best fit, and the solid symbols those with a...
<p>Relative weight for each cue for each participant and the <i>R</i><sup>2</sup> for each regressio...
<p>All shapes correspond to regression estimates at the minimum (LOW) and maximum (HIGH) of the actu...
<p>Linear regression model of the soft tissue average movements and underlying hard tissue average m...
Linear regression models on the relationship between grip strength, SPPB, and LDH in all participant...
<p><i>Note</i>. Models are random-effects weighted linear regressions calculated with weights equal ...
<p>Least Squares Linear Regression Models for Predicting Technological Improvement Rates with R<sup>...
International audienceThis article and its sequel form an introduction to the field of regression an...
<p>Details for variables in the linear regression model of factors associated with the value of tota...
<p>Statistical parameters of linear regressions shown in <a href="http://www.plosone.org/article/inf...
(a) Linearized logistic function (L); (b) Linearized power function (η); (c) Linear function (τ).</p
Linear regression models on the relationship between grip strength, SPPB, and LDH in participants wi...
Slope and coefficient of determination (r2) from linear regression comparing observed (data; y-axis)...
Model parameters for the 70 mixed-effects linear regression models based on the decathlon dataset.</...
<p>a) Subject <i>d</i>′ plotted against fitted model <i>d</i>′ for both LOS and HOS models, denoted ...
<p>The “+” symbols show the relationships with a linear best fit, and the solid symbols those with a...
<p>Relative weight for each cue for each participant and the <i>R</i><sup>2</sup> for each regressio...
<p>All shapes correspond to regression estimates at the minimum (LOW) and maximum (HIGH) of the actu...
<p>Linear regression model of the soft tissue average movements and underlying hard tissue average m...
Linear regression models on the relationship between grip strength, SPPB, and LDH in all participant...
<p><i>Note</i>. Models are random-effects weighted linear regressions calculated with weights equal ...
<p>Least Squares Linear Regression Models for Predicting Technological Improvement Rates with R<sup>...
International audienceThis article and its sequel form an introduction to the field of regression an...
<p>Details for variables in the linear regression model of factors associated with the value of tota...
<p>Statistical parameters of linear regressions shown in <a href="http://www.plosone.org/article/inf...
(a) Linearized logistic function (L); (b) Linearized power function (η); (c) Linear function (τ).</p
Linear regression models on the relationship between grip strength, SPPB, and LDH in participants wi...
Slope and coefficient of determination (r2) from linear regression comparing observed (data; y-axis)...
Model parameters for the 70 mixed-effects linear regression models based on the decathlon dataset.</...
<p>a) Subject <i>d</i>′ plotted against fitted model <i>d</i>′ for both LOS and HOS models, denoted ...
<p>The “+” symbols show the relationships with a linear best fit, and the solid symbols those with a...
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