Sentence examples for multiple regression for from inspiring English sources

Variation-partitioning was undertaken using multiple regression for species richness data, and partial redundancy analysis (pRDA) for community data.

Variation partitioning was conducted by partial Canonical Correspondence Analysis (CCA) for shrub species composition, and multiple regression for shrub species richness.

Using the continuous cognition characteristic as the starting point, we propose a new framework of one-class classifier, named multiple regression model (OC-MR), which can be seen as a natural extension of multiple regression for one-class classification problem.

The application of a stepwise forward multiple regression for the second model generated a weathering intensity index equation of: WII = 6.751 + − 0.851 ∗ K + − 1.319 ∗ Relief + 2.682 ∗ Th/K + − 2.590 ∗ Dose.

The first step of the multiple regression for the expectation of competition on purchase intention was 14.3%.

The general linear model, in detail, may be treated as an extension of linear multiple regression for a single dependent variable.

Yes the total population does, controlling up to 20 variables in multiple regressions for 3,111 US counties.

Second, we report the summary of multiple regressions for predicting the sentence in years (second Subsection).

The approach applies a spatial GIDS weighting to monthly point data by developing multiple regressions for every fine-resolution grid cell for every month.

Species collected in canopy fogging and subterranean probes were not included in measurements of ground-dwelling species richness; however, we also conducted separate multiple regressions for each of these two collection methods.

Secondly, the nature of interactions was explored with separate multiple regressions for each level of chronicity.