Sentence examples for use of multiple regression from inspiring English sources

Through the use of multiple regression analysis, we determined how quickly fans supported the team when they started winning and how quickly they dissipated once performance slumped.

Haan and Allen (1972), Decoursy and Deal (1974) have also demonstrated the use of multiple regression analysis for development of hydrological prediction equations involving geomorphic parameters.

The design of the present study was to test the influence of personality disorders and concominant axis I diagnoses on the dexamethasone suppression diagnostic test by use of multiple regression analyses.

Compared to previous studies, the multidimensional measurement of risk perception and sense of place, and the use of multiple regression methods, provide some new ideas that can be a reference for similar research and enhance our understanding of farming households' disaster preparedness behaviors and their influencing factors in disaster threat areas.

The association can be established more formally through the use of multiple regression.

This lack of information prevented the use of multiple regression analysis with adjusted model for individual characteristics.

There has been increasing interest in the use of multiple regression-like models that take all single-nucleotide polymorphisms (SNPs) as predictor variables simultaneously.

In some studies, imbalances in participant characteristics are adjusted for by using some form of multiple regression analysis.

Gender differences in play were assessed using a series of multiple regression analyses (Norusis, 2000) by entering the subject's sex in the second block of the regression model after statistically controlling the influence of subjects' age.

Random forest uses bootstrap aggregation of multiple regression trees to reduce the risk of overfitting, and it combines the predictions from many trees to produce more accurate predictions (8, 9).

To examine the impact of pesticide use, we developed two series of multiple regression models, entering use variables stepwise.