For Problems, find a model using the least-squares criterion either on the data or on the transformed data (as appropriate). Compare your results with the graphical fits obtained in the problem set 3.1 by computing the deviations, the maximum absolute deviation, and the sum of the squared deviations for each model. Find a bound on c max if the model was fit using the least-squares criterion.
Problem 6 in Section 3.1
REFERENCE:
3.1.6: The following data represent (hypothetical) energy consumption normalized to the year1900. Plot the data. Test the model Q = aebx by plotting the transformed data. Estimate the parameters of the model graphically.
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