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Positive correlation has a positive slope and negative correlation has a negative slope.
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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Correlation is when two things are related or have similar properties. They can exist independently. Causation means that one thing made the other thing happen
There is no correlation.