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Correlation is a statistical technique that is used to measure and describe the strength and direction of the relationship between two variables.
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What does the sign of the correlation coefficient tell you about the association?
Positive correlation = positive association Negative correlation = negative association
Can A regression equation have a negative coefficient of correlation and a negative coefficient of determination?
It's not quite possible for the coefficient of determination to be negative at all, because of its definition as r2 (coefficient of correlation squared). The coefficient of determination is useful since tells us how accurate the regression line's predictions will be but it cannot tell us which direction the line is going since it will always be a positive quantity even if the correlation is negative. On the other hand, r (the coefficient of correlation) gives the strength and direction of the correlation but says nothing about the regression line equation. Both r and r2 are found similarly but they are typically used to tell us different things.
Is 0.5 the strongest correlation coefficient?
No. The strongest correlation coefficient is +1 (positive correlation) and -1 (negative correlation).
Are negative correlation and reverse correlation same?
No.
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 sign of the correlation coefficient tell you about the association?
Positive correlation = positive association Negative correlation = negative association
Can A regression equation have a negative coefficient of correlation and a negative coefficient of determination?
It's not quite possible for the coefficient of determination to be negative at all, because of its definition as r2 (coefficient of correlation squared). The coefficient of determination is useful since tells us how accurate the regression line's predictions will be but it cannot tell us which direction the line is going since it will always be a positive quantity even if the correlation is negative. On the other hand, r (the coefficient of correlation) gives the strength and direction of the correlation but says nothing about the regression line equation. Both r and r2 are found similarly but they are typically used to tell us different things.
How can you tell from a scatter plot wheather two variables have a positive correlation a negative correlation or no correlation?
Positive correlation = the slope of the scattered dots will rise from left to right (positive slope) Negative correlation = the slope of the scattered dots will fall from left to right (negative slope) No correlation = no real visible slope, the dots are too scattered to tell.
What is experimental correlation and natural correlation?
the correlations we observe in the world around us
Does a correlation tell us anything about cause?
No a correlation method does not prove any kind of cause the only method that will prove Cause and Effect would be a Experiment Lab(hypothesis, Control group, Independent Variable ext...)
What is the range of correlation coefficient and what does its value tell?
The product-moment correlation coefficient or PMCC should have a value between -1 and 1. A positive value shows a positive linear correlation, and a negative value shows a negative linear correlation. At zero, there is no linear correlation, and the correlation becomes stronger as the value moves further from 0.
What does coefficent tell you?
the degree of correlation between two sets of data
What does a coefficent tell you?
the degree of correlation between two sets of data
Can you tell how tall a person is by the length of their ulna or radious?
No. The two are correlated but the correlation is not sufficiently strong.
Can someone tell you if xanax has any correlation with sulfa drugs whatsoever?
No. Alprazolam (Xanax) is not a sulfa.
Auto correlation and cross correlation?
Auto correlation is the correlation of one signal with itself. Cross correlation is the correlation of one signal with a different signal.
What is the purpose of correlation charts in FT-IR?
1. The purpose of correlation chart are to measure or relate two variables and allow us to make a prediction about one variable based on what we know about another variable. For example, a correlation between the 2 known sample.
