hich of the following statements about correlation are true? Check all that apply. If the correlation between two variables is 0, there is no clear linear relationship between the two variables. Correlation measures and describes the behavior of a single variable. A correlation of 1 indicates that there is little or no linear relationship between the two variables. If the correlation between two variables is –1, it indicates a perfect negative linear relationship between the two variables. A negative correlation means that two variables tend to change in opposite directions.
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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