--%>

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 : 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 : Regression Analysis 1. A planning

    1. A planning official in the Texas Department of Community Affairs, which works in the office next to you, has a problem. He has been handed a data set from his boss that includes the costs involved in developing local land use plans for communities wi

  • Q : Define Service Demand Law

    Service Demand Law:• Dk = SKVK, Average time spent by a typical request obtaining service from resource k• DK = (ρk/X

  • Q : Hypothesis homework A sample of 9 days

    A sample of 9 days over the past six months showed that a clinic treated the following numbers of patients: 24, 26, 21, 17, 16, 23, 27, 18, and 25. If the number of patients seen per day is normally distributed, would an analysis of these sample data provide evidence that the variance in the numbe

  • Q : Problem on Model Checking Part (a).

    Part (a). Draw a state diagram for a car with the following state variables: D indicating whether the car is in drive; B indicating the brake pedal is depressed; G indicating the gas pedal is depressed; and M indicating whether the car is moving. (For example, the sta

  • Q : Define Operational Analysis

    Operational Analysis: • Analysis method based on the measurement of the operational characteristics of the system.

    Q : What is Inter-arrival times

    Inter-arrival times:A) Requests arrive randomly, often separated by small time intervals with few long separations among themB) The time until the next arrival is independent of when the last arrival occurredC) Coro

  • Q : Compute two sample standard deviations

    Consider the following data for two independent random samples taken from two normal populations. Sample 1 14 26 20 16 14 18 Sample 2 18 16 8 12 16 14 a) Com

  • Q : Get Solved LP Problems Solve Linear

    Solve Linear Programming Questions A producer manufactures 3 models (I, II and III) of a particular product. He uses 2 raw materials A and B of which 4000 and 6000 units respectively are obtainable. The raw materials per unit of 3

  • Q : Variance and standard error A hospital

    A hospital treated 412 skin cancer patients over a year. Of these, 197 were female. Give the point estimate of the proportion of females seeking treatment for skin cancer. Give estimates of the