ou may have heard it said before that “correlation does not imply causation.” This can also be called spurious correlation, which is defined as a correlation between two variables that does not result from a direct relationship between them. Instead, it results from the variables’ relationship to other variables. One example is the relationship between crime and ice cream sales. Ice cream sales and crime rates are highly correlated. However, ice cream sales do not cause crime; instead, it is both variables’ relationship to weather and temperature. Do some research and find some interesting, or even funny, examples of spurious correlation. Share, cite your source, and discuss. Why is this an example of spurious correlation? How do you know?
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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Do some research and find some interesting, or even funny, examples of spurious correlation. Share, cite your source, and discuss. Why is this an example of spurious correlation? How do you know?
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