Yaster Outfitters manufactures and sells extreme-cold sleeping bags. The table below shows theprice-demand and total cost data, where:• p is the wholesale price (in dollars) of a sleeping bag for a weekly demand of a sleeping bags;• C is the total cost (in dollars) of producing a sleeping bags.a (sleeping bags)p ($)C ($)9524013,00012023514,30018015518,5002205021,000..Find a quadratic regression equation for the price-demand data, using x as the independent variable.p = a + bx + cx?Round a to the nearest integer, round b to 2 decimal places, and round c to 4 decimal places.Revenue ModelUsing the regression model computed above, find a model for the weekly revenue, using x as theindependent variable.NOTE: Do not calculate another regression. Use the price equation to find a model for revenueR(x) =p· x.R(x) = p- x = (a + bx + cx²)x = ax + bx² + cx³Page 1 of 1O words* Accessibility. InvestigateP Type here to searchN Cost ModelFind a linear regression model for the weekly cost data, using a as the independent variable.C(2) = mx + kRound m to 1 decimal place, and roundk to the nearest integer.Use the weekly cost model to estimate the total weekly cost when the weekly demand is 216.Round to the nearest dollar.$4Whatthe per unit variable cost? Round to 1 decimal place.2$per sleeping bagWhat is the marginal weekly cost at production level 102 sleeping bags per week? Round to 1decimal place.What is the weekly fixed cost of producing sleeping bags? Round to the nearest integer.$.per sleeping bag%24Use the cost model to estimate the average weekly cost per bag when the weekly demand is 215.Round to the nearest cent.24per sleeping bagDFocusO words* Accessibility: Investigate29%P Type here to search

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Given data represents the values of the variables x = sleeping bags, p = price…

Find a linear regression model for the weekly cost data, using z as the independent variable. C(x) = mx + k %3D Round m to 1 decimal place, and round k to the nearest integer. Use the weekly cost model to estimate the total weekly cost when the weekly demand is 216.