![]() ![]() ![]() 8.6.1 Dealing with Spatially Autocorrelated Residuals - Spatial Lag and Spatial Error models.8.5.12 Assumption 5 - Independence of Errors.8.5.10 Assumption 3 - No Multicolinearity in the independent variables.8.5.9 Assumption 2 - The residuals in your model should be normally distributed.8.5.8 Assumption 1 - There is a linear relationship between the dependent and independent variables.8.5.7 Assumptions Underpinning Linear Regression.8.5 Analysing GCSE exam performance - testing a research hypothesis. ![]() 7.4.1 Analysing Spatial Autocorrelation with Moran’s I, LISA and friends.6.7 Density-based spatial clustering of applications with noise: DBSCAN.4.5.6 If have an existing project - way 3.4.5.5 Create a new version control in RStudio - way 2.1.4 The Basics of Geographic Information.How to download data and files from GitHub. ![]()
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