Significance of Significant predictor
Significant predictors are variables identified through statistical analysis that demonstrate a strong correlation with specific outcomes. These variables can impact various areas, such as perceived stress levels influenced by factors like emotional intelligence and year of study, or health outcomes related to conditions like hypertension and cognitive impairment. In this study, significant predictors include age, education, and unemployment status, all of which play a critical role in forecasting outcomes in different contexts, emphasizing their importance in statistical modeling.
Synonyms: Major factor
The below excerpts are indicatory and do represent direct quotations or translations. It is your responsibility to fact check each reference.
The concept of Significant predictor in scientific sources
The keyphrase "Significant predictor" signifies a measurable factor that reliably indicates the likelihood of outcomes, such as malaria recovery or electrolyte imbalances, based on analyzed data or metrics from regional sources.
From: The Malaysian Journal of Medical Sciences
(1) The factors, such as tube feeding, loss of appetite, unemployment, wheelchair-bound, and BMI, that were identified as having a statistically significant association with the risk of malnutrition.[1] (2) These are the factors that were found to be most strongly related to higher levels of stress among the railway workers who participated in the study.[2] (3) The factors that have a notable effect on the outcomes of vision screening, are analyzed using statistical methods to identify which factors are most important.[3] (4) The variables that were found to have a notable influence on the level of perceived stress among the caregivers, as determined through the regression analysis.[4] (5) A factor that has a notable impact on stress levels, in this study it was year of study.[5]