y = -1.562x + 8.277. for each additional ice cube added to a glass, the least squares regression line predicts that the temperature will be ___ degrees lower after 10 minutes.

Answer 1

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.