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In order to calculate Moran’s I, neighbors and spatial weights must be defined first.

What assumption of classical statistics is violated by spatial autocorrelation?

What is the primary difference between Global and Local Moran’s I? 

You are conducting a two-sample difference test and need to know if the variances of the two samples are equal. What function would you use in R?

Which of the following best describes spatial autocorrelation? 

Based on the output from TukeyHSD() shown below, what regions are NOT statistically different from one another (assume we are using the traditional 95% confidence level)?

In spatial autocorrelation analysis, a low-high outlier (LH) cluster occurs when:

What is a primary assumption of OLS regression? 

If you are trying to estimate regression coefficients in R, what function should you use? 

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