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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
What else can I help you with?
What is the difference between Multicollinearity and Autocorrelation?
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.
What is the difference between causation and correlation?
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
What is the type of correlation where there in no relationship between two data sets?
There is no correlation.
What is a zero correlation?
a zero correlation means that there is no relationship between the two or more variables.
What is the significance of using coefficient of correlation as a statistical tool of analysis?
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.
What is the difference between Multicollinearity and Autocorrelation?
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.
Difference between positive and negative correlation?
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.
What is the difference between causation and correlation?
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
Where is it not possible to use correlation?
It is not possible to use correlation when the two variables are not related at all. the corelation coefficient value that will be obtained will have no significance.
What is the difference between correlation and cause and effect?
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.
What is the type of correlation where there in no relationship between two data sets?
There is no correlation.
Why is it important to know the difference between correlation and causation?
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.
What is multiple correlation coefficient and partial correlation coefficient?
partial correlation is the relation between two variable after controlling for other variables and multiple correlation is correlation between dependent and group of independent variables.
What's the difference between correlation and causation?
Correlation is a relationship between two variables where they change together, while causation is when one variable directly causes a change in another variable. Just because two things are correlated does not mean that one causes the other.
What is the difference between correlation and causality?
Correlation refers to a relationship between two variables where they change together, while causality indicates that one variable directly causes a change in another. In simpler terms, correlation shows a connection, while causality shows a cause-and-effect relationship.
What does it mean when two variables have a positive correlation?
A positive correlation between two variables means that there is a direct correlation between the variables. As one variable increases, the other variable will also increase.
What is a zero correlation?
a zero correlation means that there is no relationship between the two or more variables.
