Answer:
• Negative
,
• Strong
Step-by-step explanation:
Correlation coefficients are indicators of the strength of the linear relationship between two different variables, x, and y.
The value of r usually ranges from -1 to 1. If the correlation coefficient is less than zero, it is a negative relationship.
• Thus, for a dataset with r=-0.83, we can say that ,the correlation is negative.
Next, values between -1.0 to -0.70 suggests a strong negative correlation, since -0.83 is between -1.0 to -0.70, therefore, it is a strong negative correlation.
Therefore, we can say that the correlation is negative and strong.