Curve fitting employed the GraphPad Prism non-linear regression application (La Jolla).
However, severe heterogeneity of variance in the initial linear regression models required the application of a generalised least squares extension to determine appropriate variance-covariate terms and meet the assumptions of homogeneity of variance [[42], [44], see Text S3].
The simple dating method based on the binomial mass function was compared to more computationally intensive analysis with BEAST by dating 20 recombination events from the 'contig 1' of AcNc2 and performing a linear regression analysis to confirm application of the faster binomial algorithm to all 675 recombination events.
Although linear regression modeling finds some applications in the air quality prediction (Shi and Harrison 1997), it generally does not permit for consideration of complex and nonlinearity in data (Gardner and Dorling 1998).
Regression estimators are applicable whenever the constraints for the application of linear regression are satisfied.
Furthermore, we note that a simple application of linear regression can restore experimental control when using MVPA in many situations.
Direct application of linear regression models is not suitable for these kinds of data, because if the model is used to predict costs, the predictions could suggest negative costs or other unrealistic results in some scenarios.
The most widely known is an application of linear regression (LR), described by [31] and [35] and utilized for the preparation of many EEM parameter sets, e.g., in [34 37, 39, 40].
In this work, it is clear that when R2adj-non-lin > R2adj-lin, the application of linear regression models is not recommended, as it leads to an underestimation of GHG fluxes by 10 50%.
Statistical econometrics features the application of linear regression and time series analysis to economic data.
