For this exercise. round all regression parameters to three decimal places. A scientist sampled data for a natural phenomenon that she has good reason to believe is appropriately modeled by an exponential function N N(E). A laboratory assistant reported that there may have been an error in recording one of the data points but is not certain which one. t N E N 018.3 1 32.4 S 317.9 2 57.3 6 562.7 3 101.5 4 227.1 Which is the suspect data point? Explain your reasoning. OThis is the data point for which the value of N is a bit smaller than the model. This is the data point for which the value of N is a bit larger than the model. OThis is the only data point for which the value of Nis exactly the value predicted by the model.

MATLAB: An Introduction with Applications
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Author:Amos Gilat
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Chapter1: Starting With Matlab
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For this exercise, round all regression parameters to three decimal places.
A scientist sampled data for a natural phenomenon that she has good reason to believe is appropriately modeled by an exponential function N = N(t). A laboratory assistant reported that there may have been an error in recording one of the data points but is not certain which one.
0 18.3
1 32.4
2 57.3
3 101.5
Which is the suspect data point?
4 227.1
5 317.9
| 562.7
Explain your reasoning.
O This is the data point for which the value of N is a bit smaller than the model.
O This is the data point for which the value of N is a bit larger than the model.
O his is the only data point for which the value of N is exactly the value predicted by the model.
Transcribed Image Text:For this exercise, round all regression parameters to three decimal places. A scientist sampled data for a natural phenomenon that she has good reason to believe is appropriately modeled by an exponential function N = N(t). A laboratory assistant reported that there may have been an error in recording one of the data points but is not certain which one. 0 18.3 1 32.4 2 57.3 3 101.5 Which is the suspect data point? 4 227.1 5 317.9 | 562.7 Explain your reasoning. O This is the data point for which the value of N is a bit smaller than the model. O This is the data point for which the value of N is a bit larger than the model. O his is the only data point for which the value of N is exactly the value predicted by the model.
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