Read the following description of a data set.

Question

Brooke runs a bakery whose menu lists the number of calories in each item. She wondered whether this information affects which pastries are purchased, so she collected some sales data to find out.
Brooke kept track of how many calories each pastry has, x, and how many times that pastry had been purchased in the last week, y.
The least squares regression line of this data set is:
y=2.701x–31.509
Complete the following sentence:
For each additional calorie in a pastry, the least squares regression line predicts
additional sales of that pastry.

Answer 1

For each additional calorie in a pastry, the least squares regression line predicts an increase of 2.701 additional sales of that pastry.