Regression Analysis Basics in ArcGIS 9.3

Description

Regression analysis techniques are used to examine how phenomena vary over space (where things actually occur), predict where phenomena may occur, and help explain the factors behind observed spatial patterns. By finding answers to questions such as:

• Where are people persistently dying young in the United States?
• Where are children consistently achieving high test scores?

You can then explore questions such as:

• Why are people dying young?
• What factors contribute to consistently high test scores?

ArcGIS 9.3 introduces advanced tools that allow you to apply Ordinary Least Squares Regression and Geographically Weighted Regression analysis techniques. This seminar covers the process for building a regression model and explores a typical regression analysis workflow.

Who Should Attend

GIS analysts who are interested in statistical analysis.

Learn How To

• Recognize when you should use regression analysis and what kinds of questions it can answer.
• Use characteristics of a properly specified Ordinary Least Squares model and how to interpret results.
• Use Geographically Weighted Regression to refine remediation strategies and inform policy.

This seminar was developed to support the following software products:

• ArcGIS 9.3 for Desktop (ArcView, ArcEditor, or ArcInfo)

The regression analysis tools discussed in this seminar are included with the ArcInfo license of ArcGIS. Those with an ArcView or ArcEditor license need the ArcGIS Geostatistical Analyst or ArcGIS Spatial Analyst extension to access these tools.

For those unfamiliar with regression analysis, reading Regression analysis basics is recommended prior to viewing this seminar.