Sentence examples for straightforward linear regression from inspiring English sources
The common alleles analysis implemented in SCARVA is a straightforward linear regression.
We found a contrast between straightforward linear regression and the extreme groups approach in terms of relating performance experience to OSCE results.
The calculated equivalence parameter ω can be mapped to actual melting temperatures by the use of straightforward linear regressions, as described [15], once the remaining experimental conditions are established.
While the interpretation of error in the value of x ′ β is straightforward in linear regression, this is more difficult in logistic regression and it then seems clearer to state bounds on the probabilities.
The first step is computationally straightforward in linear regression.
Estimation of this indirect effect is straightforward in a linear regression model: the difference in the coefficients for the legal-status variables in models with (the "reduced model") and without (the "full model") the mediator variable can be considered the indirect effect of that variable.
For linear learning methods such as linear SVMs or linear regression, it is straightforward to determine which positions of the sequence had a certain effect on the prediction.
DOI: http://dx.doi.org/10.7554/eLife.09123.018 This result is counter to one's usual intuition, but it is a straightforward consequence of the mathematics of linear regression and PCA.
The first approach is a straightforward univariate direct standardization method, based on linear regression, where unique shift compensation models are created for each sensor.
However, whereas it is straightforward to write down an equation for the linear regression model, this is infeasible for the regression tree-based random forest model, since it is a combination of thousands of trees, each tree being a sequence of yes/no questions about the predictors that must be answered sequentially in order to arrive at the appropriate predicted value.
Parameters of a logistic regression are not as easy to interpret as those of a linear regression, so for a more straightforward interpretation, β ′ can be chosen for the analysis.
