An LP model for a marketing research application uses the variable HD to represent the number of homeowners interviewed during the day. The objective function minimizes the cost of interviewing this and other categories. There is a constraint that HD ≥ 160. The solution indicates that interviewing another homeowner during the day will increase costs by $5.00. What does this tell you about the HD variable? O The dual price for the HD constraint is -5. O The objective function coefficient of HD is 5. The dual price for the HD constraint is 5. O The objective function coefficient of HD is -5.

Advanced Engineering Mathematics
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An LP model for a marketing research application uses the variable HD to represent the number of homeowners interviewed during the day. The objective function minimizes the cost of
interviewing this and other categories. There is a constraint that HD 2 160. The solution indicates that interviewing another homeowner during the day will increase costs by $5.00. What
does this tell you about the HD variable?
O The dual price for the HD constraint is -5.
The objective function coefficient of HD is 5.
The dual price for the HD constraint is 5.
O The objective function coefficient of HD is -5.
Transcribed Image Text:An LP model for a marketing research application uses the variable HD to represent the number of homeowners interviewed during the day. The objective function minimizes the cost of interviewing this and other categories. There is a constraint that HD 2 160. The solution indicates that interviewing another homeowner during the day will increase costs by $5.00. What does this tell you about the HD variable? O The dual price for the HD constraint is -5. The objective function coefficient of HD is 5. The dual price for the HD constraint is 5. O The objective function coefficient of HD is -5.
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