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Positive Linear Relationships are is there is a relationship in the situation. In some equations they aren't linear, but other relationships are, that's a positive linear Relationship.
1. What do you understand by Linear Programming Problem? What are the requirements of Linear Programming Problem? What are the basic assumptions of Linear Programming Problem?
Do all linear graphs have proportional relationship
examples of linear relationships are: - Y= mX + b -Y= mx -Y= 2(6) + 2 - Y= 2(6) - 2 - Y= 3(5)
there is no linear equations that has no solution every problem has a solution
Positive Linear Relationships are is there is a relationship in the situation. In some equations they aren't linear, but other relationships are, that's a positive linear Relationship.
Positive Linear Relationships are is there is a relationship in the situation. In some equations they aren't linear, but other relationships are, that's a positive linear Relationship.
A linear situation is a situation where if you made a graph it would go up evenly or in a straight line.
1. What do you understand by Linear Programming Problem? What are the requirements of Linear Programming Problem? What are the basic assumptions of Linear Programming Problem?
1. What do you understand by Linear Programming Problem? What are the requirements of Linear Programming Problem? What are the basic assumptions of Linear Programming Problem?
Do all linear graphs have proportional relationship
you learn linear programming before you learn the transportation problem.
In linear programming, infeasibility refers to a situation where no feasible solution exists for a given set of constraints and objective function. This can occur when the constraints are contradictory or when the feasible region is empty. Infeasibility can be detected by solving the linear programming problem and finding that no solution satisfies all the constraints simultaneously. In such cases, the linear programming problem is said to be infeasible.
examples of linear relationships are: - Y= mX + b -Y= mx -Y= 2(6) + 2 - Y= 2(6) - 2 - Y= 3(5)
the phenomenon of obtaining a degenerate basic feasible solution in a linear programming problem known as degeneracy.
A scatterplot is the best tool. Regression or correlation can often fail to find non-linear relationships.
quadratic, inverse, linear