An important application of regression in manufacturing is the estimation of cost of production Based on the data below from Ajax Widgets relating cost (Y) to volume (X), what is the cost of producing 600 widgets None of the answers are correct 5826 6954 6312 5206 Production Volume (units) Total Cost ($) 400 4384 450 4722 550 5233 600 6091 700 6664 750 6734 425 4423 475 4905 575 5746 625 5709 725 7081 775 7094

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Question: An important application of regression in manufacturing is the estimation of cost of production Based on the data below from Ajax Widgets relating cost (Y)

An important application of regression in manufacturing is the estimation of cost of production Based on the data below from Ajax Widgets relating cost (Y) to volume (X), what is the cost of producing 600 widgets?

None of the answers are correct
5826
6954
6312
5206

Production Volume (units)	Total Cost ($)
400	4384
450	4722
550	5233
600	6091
700	6664
750	6734
425	4423
475	4905
575	5746
625	5709
725	7081
775	7094

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