Answer:
The numerical value of the correlation between number of classes skipped and grade index is 0.60.
Explanation:
In statistics R² is a measure that is used to determine the proportion of variation in the dependent variable that can be explained by the independent variable. The value of R² is compute by squaring the correlation coefficient (r) between the dependent and independent variable.

In this case the dependent variable is the grades and the independent variable is the number of classes skipped.
The R² between the grades and the number of classes skipped is 36% or 0.36.
Compute the value of r as follows:

Thus, the correlation between number of classes skipped and grade index is ±0.60.