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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).
Measure of how closely one thing is related to another?
This is referred to as correlation, which quantifies the strength and direction of the relationship between two variables. The correlation coefficient can range from -1 to 1, where values closer to 1 indicate a strong positive relationship, values close to -1 indicate a strong negative relationship, and a value of 0 indicates no relationship.
Define correlation coefficients?
Correlation coefficients measure the strength and direction of a relationship between two variables. They range from -1 to 1: a value of 1 indicates a perfect positive correlation, -1 indicates a perfect negative correlation, and 0 indicates no correlation. They are commonly used in statistics to quantify the relationship between variables.
What does the science symbol r mean?
In science, the symbol "r" typically refers to the correlation coefficient, which measures the strength and direction of a relationship between two variables. It ranges from -1 to 1, where 1 indicates a perfect positive correlation, -1 indicates a perfect negative correlation, and 0 indicates no 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.
