What are the key concerns of the local government?What is the quantitative method applied here, and what are the variable/s used in the model?Looking at the unique aspects of the situation, what other forecasting method will you use here? Review the quantitative methods 1-5.Review the advantages and disadvantages of these quantitative methods. OM in Action NYC's Potholes and Regression AnalysisNew York is famous for many things, but one it does not like to be known foris its large and numerous potholes. David Letterman used to joke: "There is apothole so big on 8th Avenue, it has its own Starbucks in it." When it comes topotholes, some years seem to be worse than others. The winter of 2014 wasan exceptionally bad year. City workers filled a record 300,000 potholes duringthe first 4 months of the year. That's an astounding accomplishment.But potholes are to some extent a measure of municipal competence-andthey are costly. NYC's poor streets cost the average motorist an estimated$800 per year in repair work and new tires. There has been a steady anddramatic increase in potholes from around 70,000-80,000 in the 1990s to thedevastatingly high 200,000–300,000 range in recent years. One theory is thatbad weather causes the potholes. Using inches of snowfall as a measure of theseverity of the winter, the graph below shows a plot of the number of potholesversus the inches of snow each winter.No. of potholes350,000300,000250,000200,000150,000100,00050,00000I10y = 115,860 +2,246.1xr² = .32I20IIL I30 40 50 60 70Inches of snowResearch showed that the city would need to resurface at least1,000 miles of roads per year just to stay even with road deterioration.Any amount below that would contribute to a "gap" or backlog of streets need-ing repair. The graph below shows the plot of potholes versus the gap. With anr² of .81, there is a very strong relationship between the increase in the "gap"and the number of potholes. It is obvious that the real reason for the steadyand substantial increase in the number of potholes is due to the increasing gapin road resurfacing.No. of potholes350,000300,000250,000200,000150,000100,00050,0000y = 15,495 + 91.1xr² = .81500 1,000 1,500 2,000 2,500 3,000Backlog of streets needing repairA third model performs a regression analysis using the resurfacing gap andinches of snow as two independent variables and number of potholes as thedependent variable. That regression model's r² is .91.Potholes7,801.5+ 80.6 X Resurfacing gap+930.1 x Inches of snowSources: OR/MS Today (June, 2014) and New York Daily News (March 5, 2014).

The variable of interest of the study is the dependent variable or response variable. And, the…

What are the key concerns of the local government? What is the quantitative method applied here, and what are the variable/s used in the model? Looking at the unique aspects of the situation, what other forecasting method will you use here? Review the quantitative methods 1-5. Review the advantages and disadvantages of these quantitative methods.

What are the key concerns of the local government? What is the quantitative method applied here, and what are the variable/s used in the model? Looking at the unique aspects of the situation, what other forecasting method will you use here? Review the quantitative methods 1-5. Review the advantages and disadvantages of these quantitative methods.

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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