Question: Cost Model Find a linear regression model for the weekly cost data, using @ as the independent variable. C(a) = max + k Round m

 Cost Model Find a linear regression model for the weekly costdata, using @ as the independent variable. C(a) = max + kRound m to 1 decimal place, and round & to the nearestinteger. Use this cost model to answer questions 9-15 below.Question 11 3pts Use the cost model above to answer this question. Use theweekly cost model to estimate the total weekly cost when the weekly
demand is 22.5. Round to the nearest dollar. $ Queson 12 3pts Use the cost model above to answer this question. What isthe per unit variable cost? Round to 1 decimal place. 15 persleeping bag Question 13 3 pts Use the cost model above toanswer this question. What is the weekly xed cost of producing sleepingbags? Round to the nearest integer. $ Question 14 3 pts Use

Cost Model Find a linear regression model for the weekly cost data, using @ as the independent variable. C(a) = max + k Round m to 1 decimal place, and round & to the nearest integer. Use this cost model to answer questions 9-15 below.Question 11 3 pts Use the cost model above to answer this question. Use the weekly cost model to estimate the total weekly cost when the weekly demand is 22.5. Round to the nearest dollar. $ Queson 12 3 pts Use the cost model above to answer this question. What is the per unit variable cost? Round to 1 decimal place. 15 per sleeping bag Question 13 3 pts Use the cost model above to answer this question. What is the weekly xed cost of producing sleeping bags? Round to the nearest integer. $ Question 14 3 pts Use the cost model above to answer this question. What is the marginal weekly cost at production level 137 sleeping bags per week? Round to 1 decimal place. $ per sleeping bag Question 15 3 pts Use the cost model above to answer this question. Use the cost model to estimate the average weeklyr cost per bag when the weekly demand is 166' Round to the nearest cent. $ per sleeping bag Prot Model Use the revenue and cost models above to construct a model for prot. Find a model For the weekly prot, using a: as the independent variable. P{a:) = 'r' + on: + .922 + 23 NOTE: Do not calculate another regression. Use the Fact that prot is revenue minus cost. Round r to the nearest integer, round tr. to 1 decimal place, round .5 to 2 decimal places, and round it to 4 decimal places. Use this prot model to answer questions 16-29 below. Question 16 2 pts Use the prot model above to answer this question. The graph y 1' + w: + 39:2 l 39:3 has negative yintercept. In the context of prot forYaster Outtters coming From sleeping bags. what is the interpretation of this value? 0 When no sleeping bags are produced. 'rtsster Oultters loses mone'l.r on sleeping bags. 0 When no sleeping bags are produced. 'rtsster Oultters makes monev on sleeping bags. Q When a negative number oi sleeping bags are produced. Yaster Outlters loses monev on sleeping bags. 0 When a negative number oi sleeping bags are produced. Yaster Outtters makes money on sleeping bags. Question 17 3 pts Use the prot model above to answer this question. The CEO of Yaster Outtters want to drive up production levels of sleeping bags. Which of the following is an appropriate advice, given that the value t in the prot model is negative. 0 raster races weekly losses regardless oi production level. since t is negative. D Jan 19(3) 2 oo. so increasing production without bound will lead to higher and higher losses. 1; on 0 lim P[;I:] _- tis negative. so increasing production too much will lead to a weekly loss oi $t. Zi-DD D Em 19(3) = no, so increasing production wilhout hound will lead lo higher and higher prots. .l'JHEIO Question 18 2 pts Use the prot model above to answer this question. Since the prot model is a cubic polynomial, the marginal prot is a [59'9"] V . The graph of marginal prot is [59'9"] V Question 19 3 pts Use the prot model above to answer this question. What is 1"? Round to the nearest integer. Yaster Outtters manufactures and sells extreme-cold sleeping bags. The table below shows the price-demand and total cost data, where: - p is the wholesale price [in dollars] of a sleeping bag for a weekly demand of m sleeping bags; - C is the total cost (in dollars] of producing a: sleeping bags. m [sleeping bags) p {5} 0 [$1 95 240 13,000 120 235 14,300 180 155 18,500 220 50 21,000 Use this data to create regression models to answer all of the questions below

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