Sentence examples for sequential regression analysis from inspiring English sources

Prediction models were built for job satisfaction and intention to leave, using sequential regression analysis.

Table  8 presents the sequential regression analysis of the total mean score on stigmatizing attitudes.

Multiple sequential regression analysis showed that, after adjustment for TUG floor surface correlates of physical function included age, sex, education, physical activity (weekly energy expenditure), general health, bodily pain, number of medications taken per day, depression and Body Mass Index.

The sequential regression analysis is performed in a stepwise manner, extending the model in each step and using the corresponding change in explained variance (R change) as an indicator of the explanatory power of the added independent variable, respectively, the square root of R change as an indicator of the importance of this contribution (Keith 2006).

In order to investigate whether the influence of the independent variables on the variance of FS is different for female versus male (research question 4), interactions of Gender with all other independent variables (IV) were obtained by calculating product variables Gender × IV, and including these as additional independent variables in the sequential regression analysis.

Non-parametric tests, multinomial logistic regression and sequential linear regression analysis were used in the statistical analysis.

Consequently, we conducted a second sequential logistic regression analysis, including fewer variables.

Therefore, we conducted sequential multiple regression analysis and applied the same protocol as described for the multiple regression analyses.

To explore the correlates of smoking behavior (smoking vs quitting) among former smokers and current smokers, we conducted sequential logistic regression analysis [ 58].

Results from sequential logistic regression analysis (N = 139) revealed large confidence intervals, due to the relative small number of participants and a large number of independent variables.

Sequential multiple regression analysis was performed in order to evaluate the associations between physical function and selected sociodemographic, physical activity, and health-related variables.