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)
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
6th Edition
ISBN:9781119256830
Author:Amos Gilat
Publisher:Amos Gilat
Chapter1: Starting With Matlab
Section: Chapter Questions
Problem 1P
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