The weekly profit model has roots at x = -52.789, x 47.555, and adecimal places.202.944, rounded to 3The marginal weekly profit model has roots at x = -8.488 and x = 140.295, rounded to 3decimal places.Yaster Outfitters• makes a profit on extreme-cold sleeping bags when the weekly production level a satisfiesA < x < B;• loses money when 0 < x < A or x > B.In other words, Yaster starts making a profit when production exceeds A sleeping bags per week,and starts losing money when production exceeds B sleeping bags per week.Round A and B to 3 decimal places.What is A? Round to 3 decimal places.sleeping bagsWhat is B? Round to 3 decimal places.sleeping bagsPage 1 of 1O words* Accessibility. InvestigateD'FocusP Type here to search Yaster Outhters manutactures and sells extreme-cold sleeping bags The table below shows theprice-demand and total cost data whereRevenue Modelpis the wholesale price in dollan) of a sleeping bag for a weekly demand of z sleeping bagsUsing the regression model computed above, find a model for the weekly revenue, using a as thindependent variable..Cis the total cost (in dollan of producing z sleeping bags.leeping bagC IS)NOTE: Do not calculate another regression. Use the price equation to find a model for revenueR(2) -p.r24013.00012023514.300Find a quadratic regression equation for the price-demand data, using a as the independent variable.18015518.500P-a+ bz + czR(2) - p.r- (a + bz + cz)a a + be + c2205021.000Round a to the nearest integer, round b to 2 decimal places, and round e to 4 decimal places.Profit ModelCost ModelUse the models computed to find a model for the weekly profit, using z as the independent variable.Find a linear regression model for the weekly cost data, using a as the independent variable.P(z) =r+ uz + sz + tz?C(z) = mx +kNOTE: Do not calculate another regression. Use the fact that profit is revenue minus cost.Round r to the nearest integer, round u to 1 decimal place, round a to 2 decimal places, and round tto 4 decimal places.Round m to 1 decimal place, and round k to the nearest integer.Page 1 of 1OwordsAccessibility: InvestigateD Focusle248%P Type here to searchN 6 O L @ © D K F O33%534 PM11/16/2021Eac4-CERDR2PriScF7F10FI1InsertDeleteF9F12F1124&234578BackspaceNumLock9WT.Y78HomeDK LGH.11

Given information: Given data represents the values of the variables x = sleeping bags, p = price and c = cost.Find the cost model: EXCEL software can be used to plot a least squares line on a scatter diagram for the given data. Software Procedure: The step-by-step procedure to plot a least squares line on a scatter diagram using EXCEL software is given below: Open an EXCEL file. Enter the data of Sleeping bags in column A and name it as x. Enter the data of Cost in column B and name it as C. Select Data and go to Insert tab. Select Charts > All charts > Scatter (X Y). Click OK. Select any point on the Scatterplot and left click on it. Select add trendline > linear and click on display equation. The output is as shown below: The cost model is: C(x) = 65.2x + 6674.Find the profit model: EXCEL software can be used to plot a least squares line on a scatter diagram for the given data. Software Procedure: The step-by-step procedure to plot a least squares line on a scatter diagram using EXCEL software is given below: Open an EXCEL file. Enter the data of Sleeping bags in column A and name it as x. Enter the data of Price in column B and name it as p. Select Data and go to Insert tab. Select Charts > All charts > Scatter (X Y). Click OK. Select any point on the Scatterplot and left click on it. Select add trendline > polynomial > order = 2 and click on display equation. The output is as shown below: The profit model is: p = 112 + 2.59x – 0.0131x2 Find the revenue model: The revenue model is as given below: R(x) = p*x = (112 + 2.59x – 0.0131x2)*x = 112x + 2.59x2 – 0.0131x3. Find the profit model: The profit model is: p(x) = R(x) – c(x) = 112x + 2.59x2 – 0.0131x3 – 65.2x – 6674 = 2.59x2 – 0.0131x3 + 46.8x – 6674 Interpretation: The regression equation is as given below: y = r + ux + sx2 + tx3 The intercept of the regression model is negative. The negative intercept value states that: When no sleeping bags are produced. Outfitters loses money on sleeping bags.