Answer:
-0.5
Step-by-step explanation:
The proportion of the variance in the dependent variable (final grade) that is predictable from the independent variable (number of absences) is called the coefficient of determination (R² = 0.25).
The correlation coefficient (R) is the square root of coefficient of determination:
[tex]R =\sqrt{0.25}\\ R = \pm 0.5[/tex]
Since the higher the number of absences, the lower the grade, there is a downhill relationship between the variables and the correlation coefficient must be negative. Therefore, R = -0.5
