The National Highway Association is studying the relationship between the number of bidders on a highway project and the winning (lowest) bid for the project. Of particular interest is whether the number of bidders increases or decreases the amount of the winning bid. Bidders Price 9.0 5.1 9.0 8.0 3.0 9.7 10.0 7.8 5.0 7.7 10.0 5.5 7.0 8.3 11.0 5.5 6.0 10.3 6.0 8.0 4.0 8.8 7.0 9.4 7.0 8.6 7.0 8.1 6.0 7.8 GIVEN: correlation coefficient: - 0.7064 Slope: -0.4667 Coefficient of determination: 49.90% regression equation: ŷ= 11.2360 + (-4467)x FIND:  Estimate the winning bid if there were seven bidders. Winning bid cost _________ millions. Explain. Compute the 95% prediction interval for a winning bid if there are seven bidders.  [ _______________ , _______________ ] (Explain).

Glencoe Algebra 1, Student Edition, 9780079039897, 0079039898, 2018
18th Edition
ISBN:9780079039897
Author:Carter
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Chapter10: Statistics
Section10.6: Summarizing Categorical Data
Problem 10CYU
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The National Highway Association is studying the relationship between the number of bidders on a highway project and the winning (lowest) bid for the project. Of particular interest is whether the number of bidders increases or decreases the amount of the winning bid.

Bidders Price
9.0 5.1
9.0 8.0
3.0 9.7
10.0 7.8
5.0 7.7
10.0 5.5
7.0 8.3
11.0 5.5
6.0 10.3
6.0 8.0
4.0 8.8
7.0 9.4
7.0 8.6
7.0 8.1
6.0 7.8

GIVEN:

  • correlation coefficient: - 0.7064
  • Slope: -0.4667
  • Coefficient of determination: 49.90%
  • regression equation: ŷ= 11.2360 + (-4467)x

FIND: 

  1. Estimate the winning bid if there were seven bidders. Winning bid cost _________ millions. Explain.
  2. Compute the 95% prediction interval for a winning bid if there are seven bidders.  [ _______________ , _______________ ] (Explain).
Expert Solution
Step 1

Given
1)
The regression equation is y^=11.23260+(-0.4467)x

The winning bid if there were seven bidders is calculated by plug in x=7 as shown below
y^=11.23260+(-0.4467)xy^=11.23260+(-0.4467)7y^=11.23260-3.1269y^=8.1091

The winning bid cost is $8.1091 millions

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