5.94998.5.1 6U Mes9--6.2 3-5.-2.May 20217-8-8-7-6 -5 -4 -3 -2y = 2x +1 and y =lx-1ving Linearx+y 51. Graphing3. Eliminationpossible values for x and y that could make both linear equations work? WExample 1:of Equations: A collection of two or more equations with a same set of unknowns. In solving a systemWhat are theExample:

Start from the origin, move p units to the right along the x axis and q units up along the y axis to…

Answered: A solution to a system of equations can…

Linear Algebra: A Modern Introduction

4th Edition

ISBN:9781285463247

Author:David Poole

Publisher:David Poole

Chapter2: Systems Of Linear Equations

Section2.4: Applications

Problem 15EQ

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2. Suppose that in Example 2.27, 400 units of food A, 500 units of B, and 600 units of C are placed in the test tube each day and the data on daily food consumption by the bacteria (in units per day) are as shown in Table 2.7. How many bacteria of each strain can coexist in the test tube and consume all of the food? Table 2.7 Bacteria Strain I Bacteria Strain II Bacteria Strain III Food A 1 2 0 Food B 2 1 3 Food C 1 1 1
The average number of customers in the system in the single-channel, single-phase model described in Section 12.4 is L=λ/(μ – λ) Show that for m = 1 server, the multichannel queuing model in Section 12.5, is identical to the single-channel system. Note that the formula for P0 (Equation 12-13) must be utilized in this highly algebraic exercise.
Step 2 of 3 : Using the model from the previous step, predict the company’s revenue for the 15th month. Round to four decimal places, if necessary. NOTE: Sum of X = 105Sum of Y = 9756Mean X =Mx = 7.5Mean Y=My = 696.8571Sum of squares (SSX) = 227.5Sum of products (SP) = 8132Regression Equation = ŷ = b0 + b1Xb1 = SP/SSX = 8132/227.5 = 35.74505b0 = MY - b1MX = 696.86 - (35.75*7.5) = 428.76923ŷ = 428.7692 + 35.7451X Hence the regression equation is ; Revenue = 428.7692 + 35.7451 (Month ) ( answer)
Give a clear and detailed solution of the intergral of e^-ct/m 2)
The table below shows the number of state-registered automatic weapons and the murder rate for several Northwestern states. xx 11.8 8.2 7 3.5 2.3 2.3 2.4 0.5 yy 13.8 11.1 10.1 6.9 6.1 6 6.2 4.5 xx = thousands of automatic weaponsyy = murders per 100,000 residentsThis data can be modeled by the equation y=0.83x+4.14. Use this equation to answer the following;Special Note: I suggest you verify this equation by performing linear regression on your calculator.A) How many murders per 100,000 residents can be expected in a state with 2.2 thousand automatic weapons?Answer = Round to 3 decimal places.B) How many murders per 100,000 residents can be expected in a state with 9.3 thousand automatic weapons?Answer = Round to 3 decimal places.
13. The standard form of 3dy-xydx = 3y3e4x/3 by Bernoulli's equation is:
31 - Find the regression model. Regresyon modelini bulunuz. Y X 2 5 5 9 7 4 4 11A) y=-3,21+2,11xB) y=2,56+5,43xC) y=5,27+0,11x
Parent W requires one of component B and two of component C. Both B and Care run on work center 10. Setup time for B is 2 hours, and run time is 0.1 hour perpiece. For component C, setup time is 2 hours, and run time is 0.15 hour per piece. Ifthe rated capacity of the work center is 80 hours, how many Ws should be producedin a week?
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Two pumps capable of delivering 100 hp to an agricultural application are being evaluated in a present economy study. The selected pump will only be utilized for one year, and it will have no market value at the end of the year. Pertinent data are summarized as given follows. If electric power costs $0.10 per kWh and the pump will be operated 4,000 hours per year, which pump should be chosen? Recall that 1 hp = 0.746 kW.
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This question refers to a 2 by 2 nonlinear dynamical system. Please show all work for every part. a) compute all steady state solutions and determine their stability b) Confirm your analysis by plotting the long term solutions using specific values of λ, a and c. This is an unsolved example from lecture notes.

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A solution to a system of equations can be solved by finding where the two graphs intersect. Graphing manually: Graph and determine where the following lines intersect. Example 1: sowing lin y = 2x + 1 and y=x-1