Sentence examples for multiple linear regression modelling from inspiring English sources

After univariate linear regression, variables with a P value of less than.25 were included in the subsequent stepwise multiple linear regression modelling.

In order to directly statistically test if the brain-to-brain entrainment was mediated by speech-to-brain entrainment, a multiple linear regression modelling was used.

Also, by using multiple linear regression modelling we assessed for the brain-to-brain entrainment not mediated by the speech-to-brain entrainment.

An experimental design of the factors raw material moisture content, steam addition, raw material bulk density, and die temperature was used to find production conditions for high quality pellets by multiple linear regression modelling of responses.

Multiple linear regression modelling was used to determine which of the lifestyle variables could be used to independently predict the difference between perceived age and chronological age.

Multiple linear regression modelling was used to test whether genotypes associated with RVSP remained significantly associated, when controlled for clinical factors.

All multiple linear regression models built were assessed whether the assumptions of the modeling procedure were met.

Residuals from multiple linear regression models were checked for normality, independence, homoscedasticity and linearity.

A multiple linear regression model was calculated separately for each response change to novel word-forms (native and non-native) in both conditions (ignore and attend).

No multiple linear regression model was applied.

Table 5 delineates the results of multiple linear regression model.