Bubble Plot of Internet vs ElderlyPop Bubble size: Rural Developed 90 1 2 80 3 70 60 50 40 30 20 10 0 0 10 ElderlyPop 20 15 Ln Internet
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.
The graph above shows information on four different variables for the countries of the world: The percent of the population to have access to the Internet, the percent of the population to be over 65 years old, the percent of the population to live in a rural setting, and how developed the country is (on a scale of 1, 2, 3).
Name at least three different relationships from the graph. Include each of the four variables at least once in your list of relationships.
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