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A small furniture manufacturer produces tables and chairs.Each product must go through three stages of the manufacturing process: assembly, finishing, and inspection.Each table requires 3 hours of assembly, 2 hours of finishing, and 1 hour of inspection.Each chair requires 2 hours of assembly, 2 hours of finishing, and 1 hour of inspection.The profit per table is $120, while the profit per chair is $80.Currently, each week there are 200 hours of assembly time available, 180 hours of finishing time, and 40 hours of inspection time.To keep a balance, the number of chairs produced should be at least twice the number of tables.Also, the number of chairs cannot exceed six times the number of tables.Formulate this as a linear programming problem.Carefully define all decision variables.
Coefficient Of Correlation
A statistical measure that indicates the extent to which two or more variables fluctuate together.
Dependent Variable
A factor in a study or model that is anticipated to vary as a result of alterations in the independent variable.
Independent Variable
An experimental variable that is changed or controlled to test its effects on dependent variables.
Coefficient Of Determination
A metric in statistics that evaluates the percentage of variability in the outcome variable that can be explained by the predictor variable(s).
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