INCOME LEVELS Low Lower-Middle Upper-Middle High Nation L.E. Nation LE. Nation LE. Nation L.E. Cambodia 62 Bolivia 67 China 75 Australia 82 Malawi 54 Guatemala 71 Colombia 74 Canada 81 Nepal Niger 68 India 66 Jordan 73 Japan Spain 83 57 Philippines 69 Libya 75 82 Zimbabwe 56 Vietnam 73 Russia 69 U.S. 79
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.
Life Expectancy (L.E.) by Income Level
- The first step in setting up the general linear model is to identify the dependent and independent variables in the model.
- What is the independent variable?
- What is the dependent variable?
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