Aaron runs a bakery whose menu lists the number of calories in each item. he
wondered whether this information affects which pastries are purchased, so he
collected some sales data to find out.
aaron 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:
ŷ = 13.981x - 2,382.881
complete the following sentence:
for each additional calorie in a pastry, the least squares regression line predicts
additional sales of that pastry.