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...


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

Extracted 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 =

Jun 08, 2022
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