Solutions_Midterm Spring 2008-1

Solutions_Midterm Spring 2008-1 - EAS 102 G/H Midterm...

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EAS 102 G/H Midterm Spring 2008 SOLUTIONS Problem 1. a. Fit 1 is the best because it yields the smallest sum of squared error (0.089491<0.09893). b. Concerns: a. The y data is to the closest 0.05 units. Is this resolution of measurement? b. A lot of spread in the data, same y for different x, what is the cause of all this variation. c. I have no idea what x and y physically represent. Advantages/disadvantages: Although Fit 1 is better from the standpoint of error, it is not much different than Fit 2. Fit 1 may be good enough and is a simple equation. It may be easier to implement a linear equation in analysis than x as an exponent. If the equation for fit 1, has some physical or chemical basis it may be better to use that. c. What does the data represent? How was the data collected: what are the limits of the measurements? Could more data be collected since there is so much scatter in the results? Could the range of x be expanded to better see the trends of the data? d.

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Solutions_Midterm Spring 2008-1 - EAS 102 G/H Midterm...

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