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If two variables are highly correlated the correlation coefficient will be at or near zero-true or false?
If two variables are highly correlated, the Pearson correlation will be close to -1.0 or +1.0. A correlation of zero shows no relationship.
What does a correlation -0.9 mean?
The two variables involved are highly but not perfectly correlated. When the value of one of them rises the other falls, and vice versa.
Does the units affect the correlation?
No. The units of the two variables in a correlation will not change the value of the correlation coefficient.
What is the weakest correlation coefficient?
The weakest correlation coefficient is 0, which means there is absolutely no relationship between the two variables you are correlating.
What does a correlation coefficient represent?
The correlation coefficient for two variables is a measure of the degree to which the variables change together. The correlation coefficient ranges between -1 and +1. At +1, the two variables are in perfect agreement in the sense that any increase in one is matched by an increase in the other. An increase of twice as much in the first is accompanied by double the increase in the second. A correlation coefficient of -1 indicates that the two variables are in perfect opposition. The changes in the two variables are similar to when the correlation coefficient is +1, but this time an increase in one variable is accompanied by a decrease in the other. A correlation coefficient near 0 indicates that the two variables do not move in harmony. An increase in one is as likely to be accompanied by an increase in the other variable as a decrease. It is very very important to remember that a correlation coefficient does not indicate causality.
If two variables are highly correlated the correlation coefficient will be at or near zero-true or false?
If two variables are highly correlated, the Pearson correlation will be close to -1.0 or +1.0. A correlation of zero shows no relationship.
What does a correlation -0.9 mean?
The two variables involved are highly but not perfectly correlated. When the value of one of them rises the other falls, and vice versa.
How can you determine whether two variables x and y for a real life situation are correlated?
You calculate a correlation coefficient and test to see if it is statistically different from 0.
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.
Does the units affect the correlation?
No. The units of the two variables in a correlation will not change the value of the correlation coefficient.
What does the size of a correlation coefficient indicate?
Size of variables
If coefficient of correlation r between two variables is zero does it mean that there is no relationship between the variables Justify your answer?
"If coefficient of correlation, "r" between two variables is zero, does it mean that there is no relationship between the variables? Justify your answer".
Correlation coefficient is the measure of?
Correlation coefficient is a measure of the strength and direction of a relationship between two variables. It quantifies how closely the two variables are related and ranges from -1 (perfect negative correlation) to 1 (perfect positive correlation), with 0 indicating no correlation.
What does a correlation coefficient of zero indicates?
A coefficient of zero means there is no correlation between two variables. A coefficient of -1 indicates strong negative correlation, while +1 suggests strong positive correlation.
What is the weakest correlation coefficient?
The weakest correlation coefficient is 0, which means there is absolutely no relationship between the two variables you are correlating.
What does a correlation coefficient represent?
The correlation coefficient for two variables is a measure of the degree to which the variables change together. The correlation coefficient ranges between -1 and +1. At +1, the two variables are in perfect agreement in the sense that any increase in one is matched by an increase in the other. An increase of twice as much in the first is accompanied by double the increase in the second. A correlation coefficient of -1 indicates that the two variables are in perfect opposition. The changes in the two variables are similar to when the correlation coefficient is +1, but this time an increase in one variable is accompanied by a decrease in the other. A correlation coefficient near 0 indicates that the two variables do not move in harmony. An increase in one is as likely to be accompanied by an increase in the other variable as a decrease. It is very very important to remember that a correlation coefficient does not indicate causality.
Correlation coefficient value of 0.00 indicates two variables are not related?
If the correlation coefficient is 0, then the two tings vary separately. They are not related.
