They are as different as chalk and cheese. Correlation is a relationship between events in which when one thing happens, another thing also tends to happen. For example, when a teacher uses the word "exam", students often pick up a pen and start taking notes. Caution, on the other hand, is an attitude of mind of someone who is extremely careful, who plays it safe and avoids risks. It can also mean a warning.
Positive correlation has a positive slope and negative correlation has a negative slope.
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The difference between multicollinearity and auto correlation is that multicollinearity is a linear relationship between 2 or more explanatory variables in a multiple regression while while auto-correlation is a type of correlation between values of a process at different points in time, as a function of the two times or of the time difference.
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Warning is in England, caution in USA
Correlation and causation.
correlation is a difference in statistics
correlation is used when there is metric data and chi square is used when there is categorized data. sayan chakrabortty
It is important to know the difference between correlation and causation because correlation only shows a relationship between two variables, while causation indicates that one variable directly causes a change in another. Understanding this distinction helps in making informed decisions and avoiding false assumptions based on misleading data.
correlation we can do to find the strength of the variables. but regression helps to fit the best line
If the two variables increase together and decrease together AND in a linear fashion, the correlation is positive. If one increases when the other decreases, again, in a linear fashion, the correlation is negative.
Correlation is a relationship between two variables where they change together, but it does not imply causation. Cause and effect, on the other hand, indicates that one variable directly influences the other.