Read the following description of a data set.

A French car company wants to cut costs by using cheaper low-carbon steel in its car frames. To determine how varying the carbon content will affect strength, company engineers manufactured several car frames.
For each car frame, the engineers noted the percentage of carbon, x, as well as the weight it could support (in kilograms), y.
The least squares regression line of this data set is:
y= 258.024x + 723.867
Complete the following sentence:

If a car frame has one additional percentage point of carbon, the least squares regression line predicts it can support
more kilograms.

If a car frame has one additional percentage point of carbon, the least squares regression line predicts it can support approximately 258 more kilograms.