Question

Is an autocorrelation test appropriate for your data? If so, perform one or more tests of the residuals (eyeball inspection of residual plot against observation order, runs test, and/or DurbinWatson test).

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For this exercise, we are to check if an autocorrelation test is appropriate for the data set given the table below.

Table 1. Residuals and standardized residuals.\text{\small{Table 1. Residuals and standardized residuals.}}

Observation Predicted ALOS Residuals Standardized Residuals
11 11.322111.3221 1.3221-1.3221 0.5998-0.5998
22 5.14655.1465 3.1465-3.1465 1.4274-1.4274
33 8.23438.2343 4.2343-4.2343 1.9209-1.9209
44 12.866112.8661 1.8661-1.8661 0.8465-0.8465
55 8.23438.2343 2.76572.7657 1.25471.2547
66 9.77829.7782 1.22181.2218 0.55430.5543
77 6.69046.6904 0.1904-0.1904 0.0864-0.0864
88 5.66115.6611 0.6611-0.6611 0.2999-0.2999
99 6.69046.6904 1.30961.3096 0.59410.5941
1010 12.866112.8661 3.13393.1339 1.42171.4217
1111 7.71977.7197 1.2197-1.2197 0.5533-0.5533
1212 5.14655.1465 0.85350.8535 0.38720.3872
1313 4.11724.1172 0.6172-0.6172 0.2800-0.2800
1414 6.69046.6904 3.30963.3096 1.50141.5014
1515 8.23438.2343 1.2343-1.2343 0.5599-0.5599
1616 3.60253.6025 1.89751.8975 0.86080.8608

What are tests to check for autocorrelation?

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