I am performing ordinary least squares regression analysis on two variables: K concentration in soil as explanatory variable, and thickness of stalk of plants as the dependent. The K-concentration dataset shows significant spatial autocorrelation (p <0.01). The OLS results in ArcMap 10.4 return a very low R2, but the residuals are not spatially autocorrelated. The F-Statistic indicates that the model is not significant. Could the spatial autocorrelation (clustering) in the input variable be affecting the functionality of this model?