There is a positive correlation between the length of time a tableware company polishes a dish and the price of the dish. Does that mean that the time a plate is polished determines the price of the dish? No, just because there is evidence of a correlation between variables, this does not mean that changing one will cause a change in the other. Yes, whenever there is evidence of a correlation between variables, we can conclude that changing one of the variable will cause a change in the other.
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.
There is a
- No, just because there is evidence of a correlation between variables, this does not mean that changing one will cause a change in the other.
- Yes, whenever there is evidence of a correlation between variables, we can conclude that changing one of the variable will cause a change in the other.
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