To find the significance of a difference between two correlations:
1. Convert each to Fisher's Zr using: .5*(ln(1+r)-ln(1-r)) or just arctanh(r)
2. Use the equation: (Zr1 - Zr2)/sqrt((1/(n1-3))+(1/(n2-3))), this will give you a Z
3. Look-up the Z on a table or from a calculator or in a computer to get the p-value
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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.
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.
a zero correlation means that there is no relationship between the two or more variables.
It tells you how strong and what type of correlations two random variables or data values have. The coefficient is between -1 and 1. The value of 0 means no correlation, while -1 is a strong negative correlation and 1 is a strong positive correlation. Often a scatter plot is used to visualize this.