A correlation coefficient quantifies the strength and direction of the relationship between two variables. Ranging from -1 to 1, a value of 1 indicates a perfect positive correlation, -1 indicates a perfect negative correlation, and 0 signifies no correlation. Higher absolute values indicate stronger relationships, while lower values suggest weaker or no relationships. It's important to note that correlation does not imply causation.
The signs of a correlation coefficient indicate the direction of the relationship between two variables. A positive correlation coefficient (r > 0) suggests that as one variable increases, the other variable also tends to increase. Conversely, a negative correlation coefficient (r < 0) indicates that as one variable increases, the other tends to decrease. A correlation coefficient of zero (r = 0) implies no linear relationship between the variables.
Yes it can be a correlation coefficient.
No, it cannot be a correlation coefficient.
The correlation coefficient that indicates a strong negative correlation is -0.95. Correlation coefficients range from -1 to 1, where values closer to -1 indicate a stronger negative relationship between variables. In this case, -0.95 shows a significant inverse relationship, while the other values indicate weaker or positive correlations.
Evidence that there is no correlation.
Size of variables
Yes, but the relationship need not be causal.
Yes it can be a correlation coefficient.
No, it cannot be a correlation coefficient.
No. The strongest correlation coefficient is +1 (positive correlation) and -1 (negative correlation).
The correlation coefficient is symmetrical with respect to X and Y i.e.The correlation coefficient is the geometric mean of the two regression coefficients. or .The correlation coefficient lies between -1 and 1. i.e. .
A serious error. The maximum magnitude for a correlation coefficient is 1.The Correlation coefficient is lies between -1 to 1 if it is 0 mean there is no correlation between them. Here they are given less than -1 value so it is not a value of correlation coefficient.
the correlation coefficient range is -1 to +1
Evidence that there is no correlation.
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.
The correlation coefficient is symmetrical with respect to X and Y i.e.The correlation coefficient is the geometric mean of the two regression coefficients. or .The correlation coefficient lies between -1 and 1. i.e. .
The correlation coefficient must lie between -1 and +1 and so a correlation coefficient of 35 is a strong indication of a calculation error. If you meant 0.35, then it is a weak correlation.