Consider the electronic inverter data in Table B.14. Delete the second observation in the data set. Split the remaining observations into prediction and estimation data sets.

a. Find the minimum \(C_{p}\) equation for the estimation data set.
b. Use the model in part a to predict each observation in the prediction data set. Calculate \(R^{2}\) for prediction and comment on model adequacy.

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Observation Number 1234567890123 10 10 12 10 16 12 10 12 13 14 15 16 17 18 19 20 21 22 23 24 25 15 3864653428 +2232232688 530647BLONDE688225664863m *30034800646383345205593623 X2 X3 X4 Xs y 38621 0.787 0.293 1.710 0.203 5 0 0.806 5 0 4.713 25 0.607 8 8246333323833333444 25 9.107 25 9.210 25 1.365 25 4.554 0.293 2.252 9.167 0.694 2 0.379 0.485 3.345 0.208 75 0.201 75 0.329 75 4.966 75 1.362 75 1.515 75 0.751