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Types of Data Used in Spatial Models

Step 3 Estimate a GLS model based on the results from Step 2. The results you get will be unbiased due to the influence of spatial autocorrelation. The results from this estimation yielded an estimate for spatial autocorrelation of 0.476, thus removing any impact of this possible source of false positive findings. For example, the impact of percent young male, found to be significant in the initial model, was found to be statistically insignificant, going from positive to negative in sign. In this case, spatial autocorrelation was not fully accounted for by the independent variables, and spatial autocorrelation had caused the estimate for young males to be inflated.