SaveExitSubmit5Based on the following sensitivity report, what would be the change in the objective function value if the objective function coefficientfor Product_2 increases to 22?Variable CellsFinalReducedObjectiveCoefficientAllowableAllowableCellNameValueCostIncreaseDecrease$B$2Product 1-21051E+30$B$3Product_2Product 317510141$B$4-1.5861E+30ConstraintsFinalShadowConstraintCellAllowableAllowableNameValuePriceR.H.Side$H$9Resource AIncreaseDecrease1001E+30100$H$10Resource B525$H$118001E+30275Resource_C7001.75700366.6666667700(Round your answer to the nearest whole number.)Change in the objective function value< Prev5 of 5...Next

The final value of the variable product_2 = 175 the current objective coefficient of variable…

Answered: Based on the following sensitivity…

MATLAB: An Introduction with Applications

6th Edition

ISBN:9781119256830

Author:Amos Gilat

Publisher:Amos Gilat

Chapter1: Starting With Matlab

Section: Chapter Questions

Problem 1P

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A consulting group recently conducted a global survey of product teams with the goal of better understanding the dynamics of product team performance and uncovering the practices that make these teams successful. One of the survey findings was that 39% of organizations have a coherent business strategy that they stick to and effectively communicate. Suppose another study is conducted to check the validity of this result, with the goal of proving that the percentage is less than 39%. Complete parts (a) and (b) below. Question content area bottom Part 1 a. State the null and research hypotheses. Identify the null and alternative hypotheses. A. H0: π=0.39; H1: π≠0.39 B. H0: π≤0.39; H1: π>0.39 C. H0: π≥0.39; H1: π<0.39 D. H0: π≠0.39; H1: π=0.
Each year U.S. News and World Report conducts its "Survey of America's Best Graduate and Professional Schools." and ranks the top 25 business schools, as determined by reputation, student selectivity, placement success, and graduation rate. For each school, three variables were measured: (1) GMAT score for the typical incoming student; (2) student acceptance rate (percentage accepted of all students who applied); and (3) starting salary of the typical graduating student. An academic advisor wants to predict the typical starting salary of a graduate at a top business school using GMAT score of the school as a predictor variable. The results of a simple linear regression of SALARY versus GMAT using the 25 data points are shown below. Is there sufficient evidence to suggest there is a linear relationship between SALARY and GMAT at the 5% level of significance? ----------------------------------------------------------------------------------- a = -92040 b = 228 s = 3213 r2 = .66 r =…
Each year U.S. News and World Report conducts its "Survey of America's Best Graduate and Professional Schools." and ranks the top 25 business schools, as determined by reputation, student selectivity, placement success, and graduation rate.For each school, three variables were measured: (1) GMAT score for the typical incoming student; (2) student acceptance rate (percentage accepted of all students who applied); and (3) starting salary of the typical graduating student. An academic advisor wants to predict the typical starting salary of a graduate at a top business school using GMAT score of the school as a predictor variable. The results of a simple linear regression of SALARY versus GMAT using the 25 data points are shown below. Is there sufficient evidence to suggest there is a linear relationship between SALARY and GMAT at the 5% level of significance? ----------------------------------------------------------------------------------- a = -92040 b = 228 s = 3213 r2 = .66 r =…
Susie, a staff nurse, wants to conduct research about the difficulties faced by caregivers caring for persons with dementia. 1. Identify the research paradigm which stems from Susie's research 2. State the most appropriate research design Susie should use. 3. Suggest TWO (2) appropriate data collection methods which might suit Susie's research study. ,4. Suggest how Susie and her research team may minimize bias in their data analysis.
According to your textbook, the dependent variable is also called the measure. criterion. principle. standard. predictor.
Many small restaurants in Portland, Oregon, and other cities across the United States do not take reservations. Owners say that with smaller capacity, noshows are costly, and they would rather have their staff focused on customer service rather than maintaining a reservation system (pressherald.com). However, it is important to be able to give reasonable estimates of waiting time when customers arrive and put their name on the waiting list. The file RestaurantLine contains 10 observations of number of people in line ahead of a customer (independent variable x) and actual waiting time (dependent variable y). The estimated regression equation is: y=4.35+8.81x and MSE=94.4236.
Many small restaurants in Portland, Oregon, and other cities across the United States do not take reservations. Owners say that with smaller capacity, noshows are costly, and they would rather have their staff focused on customer service rather than maintaining a reservation system (pressherald.com). However, it is important to be able to give reasonable estimates of waiting time when customers arrive and put their name on the waiting list. The file RestaurantLine contains 10 observations of number of people in line ahead of a customer (independent variable x ) and actual waiting time (dependent variable y ). The estimated regression equation is: Y=7.82+8.84x and MSE= 113.9197. Number of Customers Waiting Time (Minutes) 4 58 3 38 5 37 4 45 7 73 5 42 8 83 4 54 7 70 4 29 a. Develop a point estimate for a customer who arrive with three people on the wait-list (to decimal). _______minutes b. Develop a confidence interval for the mean waiting time for a…
Many small restaurants in Portland, Oregon, and other cities across the United States do not take reservations. Owners say that with smaller capacity, noshows are costly, and they would rather have their staff focused on customer service rather than maintaining a reservation system (pressherald.com). However, it is important to be able to give reasonable estimates of waiting time when customers arrive and put their name on the waiting list. The file RestaurantLine contains 10 observations of number of people in line ahead of a customer (independent variable x) and actual waiting time (dependent variable y). The estimated regression equation is: y=7.82+8.84x and MSE=113.9197. 3 people are on the waitlist.
Can this all be completed with SPSS along with all of the steps as well please? Base on the same given data uploaded in module 4, will you conclude that the number of bathroom of houses is a significant factor for house sellprice? I your answer is affirmative, you need to explain how the number of bathroom influences the house price, using a post hoc procedure. (Please treat number of bathrooms as a categorical variable in this analysis) Base on the same given data, conduct an analysis for the variable sale price to see if sale price is influenced by living area. Summarize your finding including all regular steps (learned in this module) for your method. Also, will you conclude that larger house corresponding to higher price (justify)? Each question need to include a spss output.
Many small restaurants in Portland, Oregon, and other cities across the United States do not take reservations. Owners say that with smaller capacity, no-shows are costly, and they would rather have their staff focused on customer service rather than maintaining a reservation system. However, it is important to be able to give reasonable estimates of waiting time when customers arrive and put their names on the waiting list. The file RestaurantLine contains 10 observations of number of people in line ahead of a customer (independent variable x) and actual waiting time (dependent variable y). The estimated regression equation is: ŷ=7.82+8.84x and MSE=113.9197. Point estimate for customers with 3 people on the waitlist is 34.3 minutes. b. Develop a 95% confidence interval for the mean waiting time for a customer who arrives with three customers already in line (to 2 decimals). c. Develop a 95% prediction interval for Roger and Sherry Davy's waiting time if there are three customers in…
Many small restaurants in Portland, Oregon, and other cities across the United States do not take reservations. Owners say that with smaller capacity, no-shows are costly, and they would rather have their staff focused on customer service rather than maintaining a reservation system. However, it is important to be able to give reasonable estimates of waiting time when customers arrive and put their name on the waiting list. The file RestaurantLine contains 10 observations of number of people in line ahead of a customer (independent variable x) and actual waiting time (dependent variable y). The estimated regression equation is: ŷ=4.35+8.81x and MSE=94.4236. Point Estimate for customers who arrive with 3 people on the wait list is 30.8 minutes. a. Develop a 95% confidence interval for the mean waiting time for a customer who arrives with three customers already in line (to 2 decimals). b. Develop a 95% prediction interval for Roger and Sherry Davy's waiting time if there are three…
Many small restaurants in Portland, Oregon, and other cities across the United States do not take reservations. Owners say that with smaller capacity, no-shows are costly, and they would rather have their staff focused on customer service rather than maintaining a reservation system.† However, it is important to be able to give reasonable estimates of waiting time when customers arrive and put their name on the waiting list. The file RestaurantLine contains 10 observations of number of people in line ahead of a customer (independent variable x) and actual waiting time (in minutes) (dependent variable y). The estimated regression equation is: ŷ = 4.35 + 8.81x and MSE = 94.42. (a) Develop a point estimate (in min) for a customer who arrives with seven people on the wait-list. (Round your answer to two decimal places.) ŷ* = _____min (b) Develop a 95% confidence interval for the mean waiting time (in min) for a customer who arrives with seven customers already in line. (Round…

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