Answer: Option C

Step-by-step explanation:
The correlation coefficient r is a measure of how strong the relationship between two variables x and y is.
If the value of r is positive then the correlation is positive and that implies that the variable x grows together with the variable y.
If the value of r is negative that means that the correlation is negative and that implies that when the variable x grows then the variable y decreases.
Then for a relationship, the coefficient of determination
is a measure of how well the model fit the data or how accurate the model is. While r is closer to 1, better is the precision of the model.
The coefficient of determination
for a linear relationship is calculated as the square of the correlation coefficient.
In this problem we have that the correlation coefficient r is

then the coefficient of determination is:


The answer is option C