Your English writing platform
Discover LudwigExact(2)
The regression analysis (see Table 6) reveals that the model significantly predicts ACCEPTANCE scores, p < .001.001
The regression model significantly predicts likelihood of SRE expression (χ = 274.52, df = 6, p < 0.005).
Similar(58)
The variables in the final regression model significantly predicted HR-AUCg, F = 12.626, p < .001, adj.
The multiple regression model significantly predicted low prevalence accuracy, F 4, 136) = 36.29, p < 0.001, adjusted R 2 = 0.502.
The variables in the final regression model significantly predicted the sAA stress response, F = 8.796, p < .001, and adj.
The multiple regression model significantly predicted the low prevalence target-absent reaction time, F 4, 136) = 19.97, p < 0.001, adjusted R 2 = 0.351.
The model significantly predicted performance on the earth science concept items at post-test, R 2 = .29, F 3, 41) = 5.14, MSE = 2.10, p < .01.01
Multiple and hierarchical regression analyses showed that the TPB model significantly predicted intention to perform both dietary behaviors and intention significantly predicted both behaviors.
This model significantly predicted whether an individual was a case or an unrelated control.
The full model significantly predicted disability (chi-square 17.63, df = 9, p = 0.040) at follow-up.
This model significantly predicted survival time (P = 0.01), with 23% of the variability in survival attributed to IGF-1.
Write better and faster with AI suggestions while staying true to your unique style.
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