An engineer is testing a new car model to determine how its fuel efficiency, measured in L/(10
An engineer is testing a new car model to determine how its fuel efficiency, measured in L/(10
Glencoe Algebra 1, Student Edition, 9780079039897, 0079039898, 2018
18th Edition
ISBN:9780079039897
Author:Carter
Publisher:Carter
Chapter4: Equations Of Linear Functions
Section: Chapter Questions
Problem 4SGR
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Question
![An engineer is testing a new car model to determine how its fuel efficiency, measured in L/(100
km), is related to its speed, which is measured in km/hour.
The engineer calculates the average speed for 30 trials. The average speed is an example of a
(statistic or parameter)
The engineer would like to find the least squares regression line predicting fuel used (y) from speed
(x) for the 30 cars he observed. He collected the data below.
Speed 62 65 80 82 85 87 90 96 98 100
Fuel 12 13 14 13 14 14 15 15 16 15
Speed 100 102 104 107 112 114 114 117 121 122
Fuel 16 17 16 17 18 17 18 17 18 19
Speed 124 127 127 130 132 137 138 142 144 150
Fuel 18 19 20 19 21 23 22 23 24 26
The regression line equation is
Round each number to four decimal places.](/v2/_next/image?url=https%3A%2F%2Fcontent.bartleby.com%2Fqna-images%2Fquestion%2F9870bfeb-e26e-42f8-8342-bb7dac6347ce%2Ffdd82aa1-94b5-48e1-b1ba-756d7754c522%2Frircyhu_processed.jpeg&w=3840&q=75)
Transcribed Image Text:An engineer is testing a new car model to determine how its fuel efficiency, measured in L/(100
km), is related to its speed, which is measured in km/hour.
The engineer calculates the average speed for 30 trials. The average speed is an example of a
(statistic or parameter)
The engineer would like to find the least squares regression line predicting fuel used (y) from speed
(x) for the 30 cars he observed. He collected the data below.
Speed 62 65 80 82 85 87 90 96 98 100
Fuel 12 13 14 13 14 14 15 15 16 15
Speed 100 102 104 107 112 114 114 117 121 122
Fuel 16 17 16 17 18 17 18 17 18 19
Speed 124 127 127 130 132 137 138 142 144 150
Fuel 18 19 20 19 21 23 22 23 24 26
The regression line equation is
Round each number to four decimal places.
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