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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.
When are is close to -1 does it indicate a weak negative correlation?
No, it indicates an extremely strong positive correlation.
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.
Is 1.00 a strong correlation?
A perfect positive correlation would be exactly 1; 1.00 means "0.995 or higher", which is quite strong indeed.
When are is close to -1 does it indicate a strong negative correlation?
Yes.
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.
When are is close to -1 does it indicate a weak negative correlation?
No, it indicates an extremely strong positive correlation.
Which correlation coefficient indicates the weakest relationship between variables?
Pearson's Product Moment Correlation Coefficient indicates how strong the relationship between variables is. A PMCC of zero or very close would mean a very weak correlation. A PMCC of around 1 means a strong correlation.
Is 1.10 a strong correlation?
No, The correlation can not be over 1. An example of a strong correlation would be .99
What is the maximum and minimum value of the correlation coefficient?
The correlation can be anything between +1 (strong positive correlation), passing through zero (no correlation), to -1 (strong negative correlation).
Which one of the following correlation coefficients indicates the weakest correlation?
.1 -.55 1 -.19
Is the Correlation Coefficient of 35 strong?
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.
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.
Is 1.00 a strong correlation?
A perfect positive correlation would be exactly 1; 1.00 means "0.995 or higher", which is quite strong indeed.
When are is close to -1 does it indicate a strong negative correlation?
Yes.
What are the various approaches for data exploration.Give Examples?
various approaches to data exploration are 1. perfect correlation 2. strong correlation 3. weak correlation
What correlation is stronger -1.00 or plus 1.00?
they are the same. +1.00 and -1.00 are the strongest correlations. If you have +.92 and -.92 then that's a strong correlation but if you have -.15 and +.15 then that would be a weak correlation. There for + 1 or - 1 makes no difference
