Figure
Illustration of the statistical analysis using multiple linear regression
Figure
Created 26 Sep 2011
Published 26 Sep 2011
Last modified 29 Nov 2012
1
min read
Topics:
Land use
This simple example uses the data of the NUTS-X regions from Belgium (FG-B2). The effective mesh density (seff) is shown
as the response variable as a function of two predictor variables: population density (PD, between 64 and 600 people
per km2) and gross domestic product per capita (GDPc, between 20 500 and 37 000 euros PPs). The gridded plane shows
the predicted values for the effective mesh density for each combination of PD and GDPc. The differences between the
observed values of seff (shown as small squares) and the predicted values are shown as perpendicular lines and are called
residuals. In this example, the predicted level of fragmentation increases with higher population densities and with higher
gross domestic product per capita, and the variation in population density has a higher influence than the variation in GDPc.
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- EEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (https://www.eea.europa.eu/legal/copyright). Copyright holder: European Environment Agency (EEA), Concordia University - Geography, Planning and Environment.
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Owners:
- European Environment Agency (EEA)
- Concordia University - Geography, Planning and Environment
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Figure type:
- Graph
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Geographic coverage
Temporal coverage
2009
For references, please go to https://www.eea.europa.eu/data-and-maps/figures/illustration-of-the-statistical-analysis or scan the QR code.
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Topics:
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