Not long ago, a popular car magazine raced a Dodge Viper SRT- 10 on an airport runway to see how fast it could go. They used GPS to record how many seconds the Dodge Viper SRT-10 took to reach different speeds as it accelerated down the track. That data is shown below. time (sec) speed (mph) 4.4 60 9.6 100 12.5 116.8 19.5 142.1 24.1 150 25.6 152.1 31.4 159.7 a) Use logarithmic regression to find a logarithmic function that best fits this data. Round each value to at least three decimal places. y = b) Use logistic regression to find an logistic function that best fits this data. Round each value to at least three decimal places. y =

MATLAB: An Introduction with Applications
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ISBN:9781119256830
Author:Amos Gilat
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Chapter1: Starting With Matlab
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Not long ago, a popular car magazine raced a Dodge Viper SRT-
10 on an airport runway to see how fast it could go.
They used GPS to record how many seconds the Dodge Viper
SRT-10 took to reach different speeds as it accelerated down
the track. That data is shown below.
time (sec)
speed (mph)
4.4
60
9.6
100
12.5
116.8
19.5
142.1
24.1
150
25.6
152.1
31.4
159.7
a) Use logarithmic regression to find a logarithmic function that best fits this data. Round each value to at
least three decimal places.
y =
b) Use logistic regression to find an logistic function that best fits this data. Round each value to at least
three decimal places.
Y =
Transcribed Image Text:Not long ago, a popular car magazine raced a Dodge Viper SRT- 10 on an airport runway to see how fast it could go. They used GPS to record how many seconds the Dodge Viper SRT-10 took to reach different speeds as it accelerated down the track. That data is shown below. time (sec) speed (mph) 4.4 60 9.6 100 12.5 116.8 19.5 142.1 24.1 150 25.6 152.1 31.4 159.7 a) Use logarithmic regression to find a logarithmic function that best fits this data. Round each value to at least three decimal places. y = b) Use logistic regression to find an logistic function that best fits this data. Round each value to at least three decimal places. Y =
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