Sentence examples for regression analyses suggested from inspiring English sources

Exact(33)

Exploratory regression analyses suggested that production of definite NPs distinguished the two SZ groups.

The results of multiple logistic regression analyses suggested that high homocyst e)ine levels were independently related to CVD risk.

Results of hierarchical regression analyses suggested that, after controlling for previous levels of depression, the women's feelings of powerlessness, experience of abuse, and decreased social support contributed to their depression symptoms.

Regression analyses suggested that the most relevant scale was territory level, followed by landscape, and finally by nest-site for both species.

Ichthyotoxicity was generally higher in NF water especially in winter, and multiple regression analyses suggested a positive association between water hardness and ichthyotoxicity.

Multiple regression analyses suggested larger response shifts were associated with higher pretreatment fatigue ratings, receipt of chemotherapy, and lower fatigue catastrophizing.

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Similar(27)

Regression analyses suggest that more open cutting plots disfavour the red-listed beetles of this forest type.

Linear regression analyses suggest that weekly mean stream and air temperatures have a significant linear relationship throughout the Stroubles Creek watershed, regardless of land cover or period.

For example, benthos δ 15N values range over 12‰ across sites in our study, but regression analyses suggest that over 50% of the variability is explained by the regional landscape.

Correlation and multiple regression analyses suggest that negative emotions and desire for relief influence primarily pain affect and that pain-evoked autonomic responses are strongly associated with pain affect.

Censored normal regression analyses suggest that although determinants of decision delay were influenced by the nature and symptoms of complications, uptake of antenatal care (ANC) and the birth plan reduced decision delay at the time of the obstetric emergency.

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