The provided text translates to:

"The sample regression equation of the straight line $X$ on $Y$ is given as:
$x = -4.72 + 2.36y$
Then the sample correlation coefficient may be equal to..."

This problem relates to the interpretation of the regression equation and the calculation of the correlation coefficient.

The regression equation here is for predicting $x$ based on $y$, where the slope of the line is $2.36$. However, correlation coefficients also depend on the standard deviations of $x$ and $y$, and the slope alone cannot directly determine the correlation coefficient unless additional information (like variances of $x$ and $y$) is provided.

If you need help calculating or reasoning further, please provide options for the correlation coefficient or additional data, such as the standard deviations of $x$ and $y$.