In the equation of the least squares regression line you've provided, \( y = -1.562x + 8.277 \), the coefficient of \( x \) (which is \(-1.562\)) indicates the change in the dependent variable \( y \) (in this case, the temperature) for each one-unit increase in the independent variable \( x \) (the number of ice cubes).
This means that for each additional ice cube added to the glass, the temperature is predicted to be 1.562 degrees lower after 10 minutes.