Which of the following options provides the best interpretation of the part correlation for Stress Score? Group of answer choices A) Stress Score explains an additional 4.9% (rpart2 = .2212 = .049) of the variation in depression score, over and above that explained by the other predictors B) When all the other predictors (age, gender and anxiety score) are statistically controlled, there is a moderate, positive, linear relationship between Stress Score and depression score (rpart = .221) C) When all the other predictors (age, gender and anxiety score) are statistically controlled, there is a very weak, positive, linear relationship between Stress Score and depression score (rpart = .221) D) Stress Score explains an additional 22.1% (rpart = .221) of the variation in depression score, over and above that explained by the other predictors
Correlation
Correlation defines a relationship between two independent variables. It tells the degree to which variables move in relation to each other. When two sets of data are related to each other, there is a correlation between them.
Linear Correlation
A correlation is used to determine the relationships between numerical and categorical variables. In other words, it is an indicator of how things are connected to one another. The correlation analysis is the study of how variables are related.
Regression Analysis
Regression analysis is a statistical method in which it estimates the relationship between a dependent variable and one or more independent variable. In simple terms dependent variable is called as outcome variable and independent variable is called as predictors. Regression analysis is one of the methods to find the trends in data. The independent variable used in Regression analysis is named Predictor variable. It offers data of an associated dependent variable regarding a particular outcome.
Reconsider the partial & part
Which of the following options provides the best interpretation of the part correlation for Stress Score?
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