Question: table [ [ Variable , Value,Reduced Cost, ] , [ W , 6 0 0 . 0 0 0 0 0 , 0 .

\table[[Variable,Value,Reduced Cost,],[W,600.00000,0.00000,],[M,200.00000,0.00000,],[Constraint,Slack/Surplus,Dual Value],[1,0.0000,0.12500],[2,400.0000,0.00000],[3,0.0000,0.18750],[Variable,\table[[Objective],[Coefficient]],\table[[Allowable],[Increase]],\table[[Allowable],[Decrease]]],[W,1.00000,0.25000,0.10714],[M,1.25000,0.15000,0.25000],[Constraint,\table[[RHS],[Value]],\table[[Allowable],[Increase]],\table[[Allowable],[Decrease]]],[1,4400.00000,1200.00000,400.00000],[2,2400.00000,Infinite,400.00000],[3,1600.00000,100.00000,342.85714]]
(a) What is the optimal solution, and what are the optimal production quantities?
\table[[W,jars],[M,jars],[profit $,]]
(b) Specify the objective function ranges. (Round your answers to five decimal places.)
Western Foods Salsa to
Mexico City Salsa to
(c) What are the dual values for each constraint? Interpret each.
constraint 1
One additional ounce of whole tomatoes will improve profits by $0.125.
One additional ounce of whole tomatoes will improve profits by $0.188.
One additional ounce of whole tomatoes will improve profits by $400,00.
Additional ounces of whole tomatoes will not improve profits.
 \table[[Variable,Value,Reduced Cost,],[W,600.00000,0.00000,],[M,200.00000,0.00000,],[Constraint,Slack/Surplus,Dual Value],[1,0.0000,0.12500],[2,400.0000,0.00000],[3,0.0000,0.18750],[Variable,\table[[Objective],[Coefficient]],\table[[Allowable],[Increase]],\table[[Allowable],[Decrease]]],[W,1.00000,0.25000,0.10714],[M,1.25000,0.15000,0.25000],[Constraint,\table[[RHS],[Value]],\table[[Allowable],[Increase]],\table[[Allowable],[Decrease]]],[1,4400.00000,1200.00000,400.00000],[2,2400.00000,Infinite,400.00000],[3,1600.00000,100.00000,342.85714]] (a) What is the optimal solution, and what

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