Suppose the correlation coefficient between the number of professional sports teams in a city and the number of hospitals is 0.72. Which statement must be true? O A. Having more hospitals causes the number of sports teams to increase because teams need to be close to good medical care. O B. As the number of sports teams increases, the number of hospitals tends to increase. O C. As the number of sports teams increases, the number of hospitals tends to decrease. O D. Having more sports teams causes the number of hospitals to increase because athletes often get injured.
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.
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