Based on the items produced, and the profit yielded from those items, the best model to represent the data is y = -1.026x² + 1,016.402x - 162,075.
You can find this out by testing the models using the items produced (independent or "x" value) to see if the model produces a close enough y value.
Assuming x is 100:
= -1.026x² + 1,016.402x - 162,075
= (-1.026 x 100²) + (1,016.402 x 100) - 162,075
= -$70,694.80
Assuming x is 400:
= -1.026x² + 1,016.402x - 162,075.
= (-1.026 x 400²) + (1,016.402 x 400) - 162,075.
= $80,325.80
These figures are very close to the actual y values given which makes this the best model.
Find out more on fitting models to data at https://brainly.com/question/11196020.
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