Question

which best describes the strength of the model with an r - value of - 0.93?
a weak positive correlation
a strong positive correlation
a weak negative correlation
a strong negative correlation

Explanation:

The correlation coefficient \( r \) ranges from -1 to 1. A negative \( r \)-value indicates a negative correlation. The magnitude of \( r \) (how close it is to -1 or 1) determines the strength: values close to -1 (or 1) mean a strong correlation, while values close to 0 mean a weak correlation. An \( r \)-value of -0.93 is close to -1, so it's a strong negative correlation.

Answer:

a strong negative correlation