Yes, a correlation coefficient of 0.92 indicates a strong positive correlation between two variables. This means that as one variable increases, the other variable tends to increase as well, and the relationship between them is quite close. Correlation coefficients range from -1 to 1, with values closer to 1 signifying a stronger positive correlation.
No, it indicates an extremely strong positive 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.
A perfect positive correlation would be exactly 1; 1.00 means "0.995 or higher", which is quite strong indeed.
A positive value for a correlation indicates a positive correlation; e.g. it has a positive slope.
A positive correlation.
The correlation can be anything between +1 (strong positive correlation), passing through zero (no correlation), to -1 (strong negative correlation).
a strong negative correlation* * * * *No it is not. It is a very weak positive correlation.
No, it indicates an extremely strong positive correlation.
Strong positive 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.
A perfect positive correlation would be exactly 1; 1.00 means "0.995 or higher", which is quite strong indeed.
A positive value for a correlation indicates a positive correlation; e.g. it has a positive slope.
It is easy to find the correlation. First you see how far apart the dots are. if they are going UP like this / <---- it means its a positive correlation. if its like this \ <---- its a negative correlation. if its everywhere its a neutral (although they almost never do them in tests). To find out the strength is your opinion. If alot are grouped together almost making a line its a Strong correlation. Then you decide if its a Strong or Weak correlation depending on how close together the dots are. So put them together in a 1 mark question like::::it is a Strong Positive Correlation
There is a reasonably strong positive correlation.
A positive correlation.
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.
No, The correlation can not be over 1. An example of a strong correlation would be .99