Modern Business Statistics with Microsoft Office Excel (with XLSTAT Education Edition Printed Access Card) (MindTap Course List)
Modern Business Statistics with Microsoft Office Excel (with XLSTAT Education Edition Printed Access Card) (MindTap Course List)
6th Edition
ISBN: 9781337115186
Author: David R. Anderson, Dennis J. Sweeney, Thomas A. Williams, Jeffrey D. Camm, James J. Cochran
Publisher: Cengage Learning
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Chapter 16.1, Problem 5E

In working further with the problem of exercise 4, statisticians suggested the use of the following curvilinear estimated regression equation.

y ^ = b 0 + b 1 x + b 2 x 2

  1. a. Use the data of exercise 4 to compute the coefficients of this estimated regression equation.
  2. b. Using α = .01, test for a significant relationship.
  3. c. Estimate the traffic flow in vehicles per hour at a speed of 38 miles per hour.

4. A highway department is studying the relationship between traffic flow and speed. The following model has been hypothesized.

y = β 0 + β 1 x +

where

y = traffic flow in vehicles per hour

x = vehicle speed in miles per hour

The following data were collected during rush hour for six highways leading out of the city.

Chapter 16.1, Problem 5E, In working further with the problem of exercise 4, statisticians suggested the use of the following

  1. a. Develop an estimated regression equation for the data.
  2. b. Using α = .01, test for a significant relationship.
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The Life Insurance Company is attempting to model the weight, Y (in pounds), of a random sample of n=92 randomly selected adults using height, X1 (in inches), and gender, I2 (0 = Male 1=Female). In addition, as part of the research objective, we also wish to determine if the influence of height (X1) on weight (Y) depends on gender (I2) and vice versa.        Write out the general regression equation for this model, based on the research objectives and information provided.         Using the general equation from part A, write out the specific regression equation for a female.       Using the general equation from part A, write out the specific regression equation for a male.       If it was found that the influence of height on weight did NOT depend on gender, how would this change the equation given in part A of this problem?  Rewrite the general equation from part A here.
You spilled water on your calculations from (a) and can't remember what your estimated regression parameters are. But you do have two possible estimated errors for each of your initial four observations:
It is required to use the data given in the table to estimate the parameters of the simple linear regression equation by any of the estimation methods:

Chapter 16 Solutions

Modern Business Statistics with Microsoft Office Excel (with XLSTAT Education Edition Printed Access Card) (MindTap Course List)

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