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There is no interaction term, and the single regression parameter for H reveals the advantage of resident species.
Using the definitions above, the model is written growth ∼ P + H + P + H S, mortality ∼ P + H + P + H S Model 2. As for Model 1, the single regression parameter for H, the home variable, is the key result.
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Even when the statistical significance level was adjusted by Bonferroni correction (α divided by the number of single tests), the regression parameter remained statistically significant.
This general linear model comprised site-specific electrophysiological variables, which means we tested for a uniform relationship between electrophysiology and BOLD over sites (i.e. a linear relationship that was estimated with a single regression coefficient or parameter of our multiple linear regression model).
Of course, he did this analysis without the benefit of a single regression equation.
R 2 indicates the regression parameter.
Traditionally, lenders have used single regression models that analyze approximately fifteen points of data to make credit decisions.
Individual regressions for each NE generally were superior to a single regression for all NEs.
The contributions using multiple regression models are higher than are the ones for single regression models.
Logistic regression parameter β.
The regression parameter estimates also remain comparable.
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CEO of Professional Science Editing for Scientists @ prosciediting.com