Sentence examples for multiple regression have from inspiring English sources

Modifications of multiple regression have been discussed previously in the literature (e.g., Bell et al. 2007; Hornung et al. 2009; Slama et al. 2007, 2008a).

Existing statistical approaches used in this area, primarily based on multiple regression, have important limitations: Formal tests for the difference across windows cannot be performed, missing data cannot be easily incorporated, and variation in the timing of exposure cannot be easily accommodated.

In the present work, DOE coupled to standard least squares multiple regression have been applied to model the dependence of respiration and photosynthesis upon light, carbon and inorganic nitrogen sources in C. reinhardtii through a 2 step approach consisting of 2 successive rounds of modeling.

In the present work, DOE coupled to standard least squares multiple regression have been used to model the dependence of several respiratory and photosynthetic responses upon the concomitant modulation of light intensity and acetate, CO2, nitrate and ammonium concentrations in the culture medium of C. reinhardtii.

In the present work, DOE coupled to standard least squares multiple regression have been used to model the dependence of different respiratory (CR, MACYT, MAALT) and photosynthetic (P800, ΦPSII800, NPQ800) responses upon the concomitant modulation of light, carbon and inorganic nitrogen sources in the culture medium of C. reinhardtii.

The sequential statistical analysis based on experimental design coupled with least squares multiple regression has been made to analyze the dependence of respiratory and photosynthetic responses upon concomitant modulation of light intensity as well as acetate, CO2, nitrate, and ammonia concentrations in the culture of C. reinhardtii [114].

Multiple regressions have been performed to offer a quantitative prediction for basal-plane GSFEs in Mg-X systems.

Multiple regressions have shown that Neuroticism was significantly associated with the low psychological component scores of mothers and fathers.

Multiple regressions have shown that Neuroticism was significantly related to the low MCS scores of mothers and fathers.

Statistical analyses such as two-way ANOVA and multiple regressions have been often used to reveal G × G interactions mainly on yield-related traits including heterosis, by using primary mapping populations.

As expected the multiple-regressions have lower residuals than the single-regressions, and the higher-dimensionality has lower residuals than the lower-dimensionality.