please post 1 set of variables with a positive correlation and 1 set of variables with a negative correlation. Please include an explanation of each of these.
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.
please post 1 set of variables with a
For example, there is a positive correlation between the number of hours you spend studying for a test and the grade you get on the test. Since the more time you spend learning something the better you understand it and the better grade you will get on a test. (you cannot use this example)
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