Can you think of other correlations in life that are interpreted mistakenlyas causal?
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.
Can you think of other
as causal?
Correlation and causation are terms that are mostly misunderstood and often used interchangeably.
It is very important to understand both the statistical term so that one can conclude a correct conclusion.
Suppose we have two variables, then
- correlation tells us how strongly the pair of variables are linearly related and change together.
- causation tells us any change in the value of one variable will cause a change in the value of another variable.
In other words, we can say that " correlation is that if there is a change in one variable it doesn't mean that this change due to another variable. " But " causation suggests that if there is a change in a variable this is due to the change that occurred in another variable."
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