Sentence examples for multiple regression included from inspiring English sources

The final model for the multiple regression included the following predictors (Table 3): class, DCV condition, gender, English as first language, time spent on knowledge assessment, and time spent on DCVs, while the dependent variable was the estimated student ability in solving osmosis problems.

Multiple regression included the predictors significantly correlated with dependent variable in simple regression (P < 0.05).

*The multiple regression included 45 wards over 47 because of the lack of information about the percentage of urgent admissions of two Units.

Table 2 (column 1) presents results from a multiple regression including income and wealth variables as well.

Multiple regression, including native vegetation and environmental variables, accounted for similar amounts of variation in exotic species richness (50% of variation) and cover (51%).

Therefore, our results which are based on the multiple regression include that the characteristics of the new company as the characteristics of the entrepreneur and his self-financing influence her continuity for a long term such as the innovation and the role of the employees.

For each ecosystem process, we performed a multiple regression including the 8 indices as predictive variables with a backward procedure to select the minimal adequate model (Table 2).

A multiple regression including the effects on the chick feeding anomaly of the log-transformed average wind speed of the present day, log-transformed wind speed the previous day, and an interaction term for present and prior wind speed, shows highly significant positive effects of both previous day's wind speed (F3,197 = 16.21, P<0.001) and the interaction term (P = 0.019).

Assumptions related to multiple regression including multicollinearity, normality, homoscedasticity, outliers, missing were assessed.

Accordingly, we performed a logistic multiple regression including both ASD gene status and gene size as covariates.

By multiple regression including other conventional risk factors, this level of admission myeloperoxidase was identified as an independent predictor of myocardial infarction (odds ratio of 8.0; P = 0.048).