Suppose the sales {1333s of $1 of a fast food restaurant are a linear function of the number of competing outlets within a 5 mile radius and the population [1333s of people} within a 1 mile radius. The regression equation quantifying this relation is {sales} = 1.499'lcompetitors1 + o.322*{population1 + 3.334. Suppose the sales {in 13335 of $1 to be of a store that has 4 competitors and a population of 9' thousand people within a 1 mile radius are 33.331 [1333s $1. You calculate the residual to be 4.392. What is the best interpretation of this residual? O 1] The number of competitors are 4.392 stores less than what we would expect. 0 2] The sales are 33.331 [1333s $1 larger than what we would expect. 0 3] The sales are 4.392 [1333s $1 less than what we would expect. 0 4] The number of competitors are 4.392 stores larger than what we would expect. G) 5] The sales are 4.392 [13335 $1 larger than what we would expect