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Production Volume (units) (X) Total Cost ($) (Y) 400 4384 450 4722 550 5233 600 6091 700 6664 750 6734 425 4423 475 4905 575

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Production Volume (units) (X) Total Cost ($) (Y) 400 4384 450 4722 550 5233 600 6091 700 6664 750 6734 425 4423 475 4905 575 5746 625 5709 725 7081 775 7094Regression - Interpret slope Regression - Interpretation Question 26 (4 points) An important application of regression in manufacturing is the estimation of cost of production. Based on DATA from Ajax Widgets relating cost (Y) to volume (X), what is the cost per widget? 8.21 7.38 8.75 07.54 None of the answers are correct

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