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Google is looking for data structures on the web that imply facts, and then grabbing it for Squared results.
Additional tests of nonlinear relationships between T1 and T2 filial obligations (nonsignificant coefficients of T1 scores squared; results not shown) did not support the notion that family caregivers who begin at a high level of filial obligation would decline most because there is much room left for decline.
Body mass index (BMI) is the obvious example; it works on the basis that weight increases proportionately to height squared, so dividing weight by height squared results in an index that is uncorrelated with height in a sample (Keys et al., 1972).
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The exes show squared error results of the unbounded multipath components reconstruction.
This is consistent with the chi-square results.
Open squares: results using Vegard's model for unoxidized porous Si.
The results suggest that unobserved genetic differences may introduce omitted variable bias in standard ordinary least square results.
The coefficient estimates and standard errors are very similar for weighted least squares and panel based GLS, and the weighted least squares results also satisfy diagnostic tests.
We will provide item parameter estimates and chi-square results as model fit findings (see, Table 1 and Table 2 in the Result section).
This suggests that the least squares results may provide a lower bound of the true returns to skills in the labor market.
It suggests that policies of skill development—even if based on standard (least squares) results on skill returns are not pursuing overly optimistic outcomes.
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Since I tried Ludwig back in 2017, I have been constantly using it in both editing and translation. Ever since, I suggest it to my translators at ProSciEditing.

Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com