This graph shows how the wind resistance of a moving car increases with speed. 100 90 80 70 60 50 40 30 20 10 10 20 30 40 sO 60 70 80 90 100110120 Sneed km/h) An engineer uses the line of best fit for this graph to predict that at 100 km/h, the wind resistance will be 56 N. What is wrong with this prediction? The data show a non-linear pattern, so linear extrapolation will lead to an a) error. The line of best fit has been drawn incorrectly; there is an uneven number of O b) data points on either side. O C) There is nothing wrong with this prediction. O d) The engineer has made an error in reading the graph. Wind resistance (N)

MATLAB: An Introduction with Applications
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Author:Amos Gilat
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Chapter1: Starting With Matlab
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This graph shows how the wind resistance of a moving car increases with speed.
100
90 +
80
70
60---
50
40
30
南
20
10
0 10 20 30 40 S0 60 70 80 90 100110120
Sneed (km/
An engineer uses the line of best fit for this graph to predict that at 100 km/h, the
wind resistance will be 56 N.
What is wrong with this prediction?
Oa The data show a non-linear pattern, so linear extrapolation will lead to an
a)
error.
The line of best fit has been drawn incorrectly; there is an uneven number of
b)
data points on either side.
O c) There is nothing wrong with this prediction.
d) The engineer has made an error in reading the graph.
Wind resistance (N)
Transcribed Image Text:This graph shows how the wind resistance of a moving car increases with speed. 100 90 + 80 70 60--- 50 40 30 南 20 10 0 10 20 30 40 S0 60 70 80 90 100110120 Sneed (km/ An engineer uses the line of best fit for this graph to predict that at 100 km/h, the wind resistance will be 56 N. What is wrong with this prediction? Oa The data show a non-linear pattern, so linear extrapolation will lead to an a) error. The line of best fit has been drawn incorrectly; there is an uneven number of b) data points on either side. O c) There is nothing wrong with this prediction. d) The engineer has made an error in reading the graph. Wind resistance (N)
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