"the study of how changes in the input parameters of a linear programming problem affect the optimal solution is known as
a. regression analysis.
b. optimality analysis.
c. model analysis.
d. sensitivity analysis"

The answer to this question is the option "D".  

Explanation:

In this question, the answer is sensitivity analysis. Because Linear programming is part of the Sensitivity Analysis. It deals with finding out the number by which you can change the input data form the output of the linear programming pattern to remain relatively stable. This helps us in determining the sensitivity of the data we supply for the problem. To solve this problem we use the sensitivity analysis.

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