No, it indicates an extremely strong positive correlation.
Yes.
Positive correlation has a positive slope and negative correlation has a negative slope.
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.
It's a negative correlation because it is less than 0
It means as the health of people increases, their marital happiness decreases or gets worse.
the negative sign on correlation just means that the slope of the Least Squares Regression Line is negative.
No, it indicates an extremely strong positive correlation.
Yes.
Yes, but the relationship need not be causal.
Positive correlation has a positive slope and negative correlation has a negative slope.
A mistake in calculations! ;) If the calculations are done correctly then the sample correlation must lie within the closed interval [-1, 1].
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.
Positive correlation = positive association Negative correlation = negative association
No.
positive correlation-negative correlation and no correlation
It's a negative correlation because it is less than 0