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14:440:127 Introduction to Computers for Engineers
Problems for students to attempt in Recitation 11.
1)
Given the following points, linearly interpolate to find the values at x=12.4, 13.6, and 14.7
X = 10:15;
Y = [21 21.8 25.3 26 27.8 30.3];
2)
Given the following points, calculate cubic splines to interpolate between these points,
and then graph the originals (as X’s) and the splines on the same graph:
X = 10:15;
Y = [21 15 25.3 35 27.8 30.3];
3)
Find the equation of the line that best fits the following data points using least squares
regression:
X = 10:15;
Y = [21 21.8 25.3 26 27.8 30.3];
4)
Find the equation of the 3
rd
degree polynomial that best fits the following data points
using least squares regression:
X = 10:15;
Y = [1794
2454
3224
4259
5227
6438];
5)
Find an equation for the following set of data.
(Hint:
plot on semilogy and loglog axes
first, and then perform an appropriate linearization).
X = 1:5;
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This note was uploaded on 02/29/2012 for the course 440 127 taught by Professor Blase during the Fall '09 term at Rutgers.
 Fall '09
 blase

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