Sentence examples for linear regression suggested from inspiring English sources

Our linear regression suggested that instructor strategies as well as students' value and positivity are significant positive predictors of students' participation (final model R2 = 0.32) and course evaluation (R2 = 0.32) and negative predictors for students' distraction (R2 = 0.20).

While diuretic resistance as defined by the dichotomized urinary Na <50 meq/L failed to show significant associations with LOS, predicted LOS and hospital readmission from the linear regression suggested decreasing LOS and hospital readmission with increasing urinary sodium.

Indeed, linear regression suggested that the magnitude of any change in variability associated with changes in mean BP and variability was modest and for DBP even suggested a fall in variability as mean DBP rose.

Results from multivariate linear regression suggest that religiosity, complexities of modern life, developmental idealism concerning modern sexual relations, determine the attitude toward marriage.

Moreover, for spot-the-word and mean simple RT, the logistic regression failed to confirm earlier associations found using linear regression, suggesting that the skewed distribution and outlying WMH values may have influenced the initial finding.

Results of linear regression suggest that the date of publication was a significant predictor of increasing citation counts for STRICTA guidelines 2010 in English literature (r = 0.900).

Analysis by linear regression suggests that Ca intake (reflecting both dairy and Ca supplement) was related to the change in energy intake over the 12 weeks.

Results of a multivariate linear regression suggests that there was no evidence that any of the background variables were related to the post-test anxiety scores when controlling for pre-test anxiety scores (Table 5).

Mulivariate linear regression suggests these associations are relatively weak, accounting for only 4.1% of the variance for total UMAT score, 5.4% of the variance in UMAT-1, 11.1% for UMAT-2 and 3.7% for UMAT-3 [ 1].

The results of univariate linear regression suggest that a significant proportion of new TB cases could be predicted by HDI levels (negative association), percentage growth in slum population (negative association), and one-room dwelling units (positive association) in the State.

This contradictory finding, in conjunction with the small change in proportion of BMD variability explained by this variable in the linear regression suggests that CB-118 is unlikely to exert an important influence on BMD in females in this population sample.