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Required information Exercise 5A-5 (Algo) Least-Squares Regression [LO5-11] George Caloz & Frres, located in Grenchen, Switzerland, makes luxury custom watches in small lots. One of

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Required information Exercise 5A-5 (Algo) Least-Squares Regression [LO5-11] George Caloz \& Frres, located in Grenchen, Switzerland, makes luxury custom watches in small lots. One of the company's products, a platinum diving watch, goes through an etching process. The company has recorded etching costs as follows over the last six weeks: For planning purposes, management would like to know the variable etching cost per unit and the total fixed etching cost per week. xercise 5 A-5 Part 2 (Algo) -a. Using the least-squares regression method, estimate the variable etching cost per unit and the total fixed etching cost per week. b. Express these estimates in the form Y=a+bX Complete this question by entering your answers in the tabs below. Using the least-squares regression method, estimate the variable etching cost per unit and the total fixed etching cost per week, (Round your answers to 2 decimal places.) For planning purposes, management would like to know the variable etching cost per unit and the to per week. xercise 5A-5 Part 2 (Algo) -a. Using the least-squares regression method, estimate the variable etching cost per unit and the total fixe -b. Express these estimates in the form Y=a+bX. Complete this question by entering your answers in the tabs below. Using the least-squares regression method, estimate the variable etching cost per unit and the total fixed etching week. (Round your answers to 2 decimal places.) For planning purposes, management would like to know the variable etching cost per unit and the total fixed etching cost per week. Exercise 5A-5 Part 2 (Algo) 2-a. Using the least-squares regression method, estimate the variable etching cost per unit and the total fixed etching cost per weeh 2.b. Express these estimates in the form Y=a+bX. Complete this question by entering your answers in the tabs below. Express these estimates in the form Y=$a+bX. (Round your answers to 2 decimal places.)

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