Table B. 18 contains hourly yield measurements from a chemical process and the process operating temperature. Fit a regression model to these data with the Cochrane-Orcutt method, using the temperature as the predictor. Analyze the residuals from this model. Is there evidence of autocorrelation in these data?

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y X2 X3 X4 x5 X6 X7 Xg 343 0 52.8 811.7 2.11 220 261 87 1.8 356 1 52.8 811.7 2.11 220 261 87 1.8 344 0 50.0 821.3 2.11 223 260 87 16.6 356 1 50.0 821.3 2.11 223 260 87 16.6 352 0 47.2 832.0 2.09 221 261 92 23.0 361 1 47.2 832.0 2.09 221 261 92 23.0 372 0 47.0 831.3 2.26 190 323 75 25.1 355 1 47.0 831.3 2.26 190 323 75 25.1 375 0 48.3 836.8 2.47 180 364 71 26.1 359 1 48.3 836.8 2.47 180 364 71 26.1 364 0 44.7 808.3 1.41 180 300 64 20.0 357 1 44.7 808.3 1.41 180 300 64 20.0 368 0 55.7 808.7 1.44 176 299 64 20.5 360 1 55.7 808.7 1.44 372 0 52.8 813.2 1.96 352 1 52.8 813.2 1.96 9771 299 64 20.5 301 75 17.3 301 75 17.3