Saturday, November 18, 2017

Special Topics in GIS (GIS5935): Lab 11

In this week's lab, we got more in-depth with using regression analysis. The regression analysis can help determine our models by using the coefficient, P-value, Adjusted R-squared, AIC, and the VIF to see how the data correlates with our research question. If the VIF value is over 7.5, there is some redundancy in the data being used to correlate the desire result. Also, using the analysis of residuals can improve our model by seeing if the residuals are clustering in one areas. If residuals are cluttering, that means we need to add more variables to the analysis to get better results for the model.

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