Yaster Outhers manutachures and welh estreme-cold sleeping bags The table below shows the price-demand and total cost data where Revenue Model ph the wholesale price in dollan of a sleeping bag for a weekly demand ofsleeping bags Cisthe total cost n dullard of producing sleeping bags Using the regression model computed above, find a model for the weekly revenue, using z as the a sleeping bags independent variable. 1240 13.000 NOTE: Do not calculate another regression Use the price equation to find a model for revenue R(2) -p-a. 20 235 14300 180 155 18.500 R(z)-p-z (a + bz + cz)a ar + ba+e 1220 s0 21.000 Cost Model Find a linear regression model for the weekly cost data, using z as the independent variable. C(z) = mx + k Find a quadratic regression equation for the price-demand data, using e as the independent variable. P-a+ be + cz Round m to 1 decimal place, and round k to the nearest integer. Round a to the nearest integer, round b to 2 decimal places, and round e to 4 decimal places. Profit Model Use the models computed to find a model for the weekly profit, using az as the independent variable. The weekly profit model has roots at z = –52.789, r = 47.555, and z = 202.944, rounded to 3 P(z) -r+uz + sz? + tz decimal places. NOTE: Do not calculate another regression. Use the fact that profit is revenue minus cost. Round r to the nearest integer, round u to1 decimal place, round a to 2 decimal places, and round t The marginal weekly profit model has roots at x = -8.488 and r = to 4 decimal places. 140.295, rounded to 3 decimal places. What weekly production level will maximize profit? Round to 1 decimal place. sleeping bags

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What weekly production level (number of sleeping bags) will maximize profit? 

Yaster Outfitters manufactures and sells extreme-cold sleeping bags. The table below shows the
price-demand and total cost data, where:
Revenue Model
pis the wholesale price (in dollars) of a sleeping bag for a weekly demand of a sleeping bags;
Cis the total cost (in dollars) of producing r sleeping bags.
Using the regression model computed above, find a model for the weekly revenue, using a as the
(sleeping bags)
P (S)
C (S)
independent variable.
95
240
13.000
120
NOTE: Do not calculate another regression. Use the price equation to find a model for revenue
235
14.300
R(x) = p x.
180
155
18.500
220
50
R(x) =p x = (a + bx + cx²)x
21.000
I = ar + bz + cx
Cost Model
Find a linear regression model for the weekly cost data, using x as the independent variable.
Find a quadratic regression equation for the price-demand data, using x as the independent variable.
C(x) = mx + k
p= a+ bx + cx?
Round a to the nearest integer, round b to 2 decimal places, and round c to 4 decimal places.
Round m to 1 decimal place, and round k to the nearest integer.
Profit Model
Use the models computed to find a model for the weekly profit, using x as the independent variable.
The weekly profit model has roots at x =
-52.789, x = 47.555, and x =
202.944, rounded to 3
P(z) =r+ux + sx² + tx³3
decimal places.
NOTE: 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 s to 2 decimal places, and round t
The marginal weekly profit model has roots at x = –8.488 and x =140.295, rounded to 3
to 4 decimal places.
decimal places.
What weekly production level will maximize profit? Round to 1 decimal place.
sleeping bags
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Transcribed Image Text:Yaster Outfitters manufactures and sells extreme-cold sleeping bags. The table below shows the price-demand and total cost data, where: Revenue Model pis the wholesale price (in dollars) of a sleeping bag for a weekly demand of a sleeping bags; Cis the total cost (in dollars) of producing r sleeping bags. Using the regression model computed above, find a model for the weekly revenue, using a as the (sleeping bags) P (S) C (S) independent variable. 95 240 13.000 120 NOTE: Do not calculate another regression. Use the price equation to find a model for revenue 235 14.300 R(x) = p x. 180 155 18.500 220 50 R(x) =p x = (a + bx + cx²)x 21.000 I = ar + bz + cx Cost Model Find a linear regression model for the weekly cost data, using x as the independent variable. Find a quadratic regression equation for the price-demand data, using x as the independent variable. C(x) = mx + k p= a+ bx + cx? Round a to the nearest integer, round b to 2 decimal places, and round c to 4 decimal places. Round m to 1 decimal place, and round k to the nearest integer. Profit Model Use the models computed to find a model for the weekly profit, using x as the independent variable. The weekly profit model has roots at x = -52.789, x = 47.555, and x = 202.944, rounded to 3 P(z) =r+ux + sx² + tx³3 decimal places. NOTE: 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 s to 2 decimal places, and round t The marginal weekly profit model has roots at x = –8.488 and x =140.295, rounded to 3 to 4 decimal places. decimal places. What weekly production level will maximize profit? Round to 1 decimal place. sleeping bags O words * Accessibility: Investigate CFocus 22396 K 国 10:26 PM Type here to search 13% 11/16/2021 ER PrtSc Insert Delete FB F9 F10 F11 F12 F3 FA F5 F6 F7 F2 %23 Backspace Num Lock 4 7 08. 2. + I/
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