--%>

develop the most appropriate regression model

Predicting Courier Costs

The law firm of Adams, Babcock, and Connors is located in the Dallas-Fort metroplex.  Randall Adams is the senior and founding partner of the firm.  John Babcock has been a partner in the firm for the past eight years, and Blake Connors became a partner just last year.  The firm employs two paralegal assistants and three secretaries.  In addition, you, the newly hired office manager, are in charge of day-to-day operations and manage the financial affairs of the law firm. 

A major aspect of the law firm's business is the preparation of contracts and other legal documents for its clients.  A courier service is employed by the firm to deliver legal documents to its many clients as they are scattered throughout the metroplex.  The downtown centers of Dallas and Fort Worth are separated by a distance of approximately (30) miles.  With the large sizes of these cities and their associated heavy traffic, a trip by car from the southwest side of Fort Worth to the northeast side of Dallascan easily take longer than an hour which could impact courier costs.

In order to improve the firm's planned expenditures, you have been asked to derive a regression model that would be best in predicting courier costs.  The information provided in the Excel file E281 Project 2 Data, includes cost (charge for the delivery), pickup time (time in minutes from when the order is phoned in until a courier agent arrives), delivery time (time in minutes that it takes for the documents to be delivered), and mileage (distance in miles from the law firm to the destination).

(a).  Select only (1) of the (3) independent variables provided to use in your regression model.  Justify your selection by ONLY applying the p-value approach.

(b).  Using your results in (a), develop the most appropriate regression model using a linear model, quadratic model, and cubic regression model.  

(c).  Using your results in (a), develop the most appropriate model using a linear model, log-logmodel, logarithmic model, and exponential model.

(d).  Write a (1) page report that summarizes your results and methodology, and explain your perspective of the models you developed in (b) and (c).  In regards to your results in (b) and (c), which model would you choose.  Briefly explain.

   Related Questions in Basic Statistics

  • Q : Probability how can i calculate

    how can i calculate cumulative probabilities of survival

  • Q : Explain Service times Service times: A)

    Service times:A) In most cases, servicing a request takes a “short” time, but in a few occasions requests take much longer.B) The probability of completing a service request by time t, is independent of how much tim

  • Q : Designing a system What are the

    What are the questions that comes into mind when designing a system?

  • Q : Quantities in a queuing system

    Quantities in a queuing system: A: Count of

  • Q : Networks of queues Networks of queues •

    Networks of queues • Typically, the flow of customers/request through a system may involve a number of different processing nodes.– IP packets through a computer network– Orders through a manufactur

  • Q : Homework help on Human memory & SPSS

    Effect of Scopolamine on Human Memory: A Completely Randomized Three Treamtent Design (N = 28) Scopolamine is a sedative used to induce sle

  • Q : Decision Variables Determine Decision

    Determine Decision Variables: Let X1 be the number of private homes to be inspectedLet X2 be the number of office buildings to be inspect

  • Q : Sample Questions in Graphical Solution

    Solved problems in Graphical Solution Procedure, sample assignments and homework Questions: Minimize Z = 10x1 + 4x2 Subject to

  • Q : State Littles Law Little’s Law : • L =

    Little’s Law: • L = λR = XR • Lq = λW = XW • Steady state system • Little’s Law holds as long as customers are not destroyed or&nbs

  • Q : Computing Average revenue using

    Can anyone help me in the illustrated problem? The airport branch of a car rental company maintains a fleet of 50 SUVs. The inter-arrival time between the requests for an SUV is 2.4 hrs, on an average, with a standard deviation of 2.4 hrs. There is no indication of a