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Table 5 OLS regression R-squared values by rural-urban code

From: Estimation of exposure to toxic releases using spatial interaction modeling

Code

no term

contain.

buffer

Cutter

exp.

power

0

0.4971

0.4971

0.5682

0.5493

0.5100

0.4978

1

0.4113

0.4318

0.4795

0.4840

0.4119

0.4345

2

0.4654

0.4655

0.5143

0.5065

0.4655

0.4690

3

0.4618

0.4678

0.5216

0.5089

0.4621

0.4660

4

0.4815

0.4818

0.5514

0.5210

0.4828

0.4841

5

0.5886

0.5905

0.6753

0.6425

0.5899

0.5939

6

0.3990

0.3992

0.4562

0.4436

0.3997

0.3990

7

0.5231

0.5231

0.5882

0.5862

0.5234

0.5232

8

0.5555

0.5628

0.5829

0.5749

0.5560

0.5578

9

0.5741

0.5746

0.5892

0.5909

0.5748

0.5764

  1. Results for multivariate ordinary least squares regression of age-adjusted lung cancer mortality versus covariates and risk estimates from releases of lung carcinogens and related compounds, separated by the county's 1993 rural-urban continuum code (see Table 6). Bold entries indicate which spatial interaction model performed best.