<p>As the allometry becomes stronger, the plots become curved such that a polynomial improves the fit. The plots illustrate isometry, positive and negative linear allometry and positive and negative polynomial allometry.</p
<p>Curves plot the matches made to different test levels before (gray line) or after (connected circ...
<p>Slopes significantly greater than zero are positively allometric (grey background; the measure be...
Linear regression plot of measured and spherical equivalent refractive error.</p
<p>The “+” symbols show the relationships with a linear best fit, and the solid symbols those with a...
<p>The grey zone indicates isometric relationships, positive allometries have larger slopes and nega...
In this lesson you'll learn about how to find the best fit line to a set of curved data points and h...
<p>In all panels, the upper insets show the best (left) and worst (right) regression results. The ve...
Linear (lm) and polynomial regressions (poly) between the different parameters tested and elevation....
Curve comparisons comparing 2 point linear fit with 6 point least square polynomial fits of differen...
<p>In the lower panel, the points are coded for ratios to BL, ratios to ANT or ratios to head measur...
Mean weights are plotted with error bars representing the standard error of each group. The 95% conf...
Comparison between polynomial fits and orthogonal polynomial contrasts for each emotion curve.</p
<p>The continuous line represents the regression fit of all the samples. The upper dashed line repre...
<p>Linear regression results between structural and functional features of different regions that be...
Residuals of fitting models: Comparison using Q-Q plots (left) and real vs. residual (right) for dif...
<p>Curves plot the matches made to different test levels before (gray line) or after (connected circ...
<p>Slopes significantly greater than zero are positively allometric (grey background; the measure be...
Linear regression plot of measured and spherical equivalent refractive error.</p
<p>The “+” symbols show the relationships with a linear best fit, and the solid symbols those with a...
<p>The grey zone indicates isometric relationships, positive allometries have larger slopes and nega...
In this lesson you'll learn about how to find the best fit line to a set of curved data points and h...
<p>In all panels, the upper insets show the best (left) and worst (right) regression results. The ve...
Linear (lm) and polynomial regressions (poly) between the different parameters tested and elevation....
Curve comparisons comparing 2 point linear fit with 6 point least square polynomial fits of differen...
<p>In the lower panel, the points are coded for ratios to BL, ratios to ANT or ratios to head measur...
Mean weights are plotted with error bars representing the standard error of each group. The 95% conf...
Comparison between polynomial fits and orthogonal polynomial contrasts for each emotion curve.</p
<p>The continuous line represents the regression fit of all the samples. The upper dashed line repre...
<p>Linear regression results between structural and functional features of different regions that be...
Residuals of fitting models: Comparison using Q-Q plots (left) and real vs. residual (right) for dif...
<p>Curves plot the matches made to different test levels before (gray line) or after (connected circ...
<p>Slopes significantly greater than zero are positively allometric (grey background; the measure be...
Linear regression plot of measured and spherical equivalent refractive error.</p
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