Skip to Main Content
Data Analysis and Statistics for Geography, Environmental Science, and Engineering
book

Data Analysis and Statistics for Geography, Environmental Science, and Engineering

by Miguel F. Acevedo
December 2012
Beginner content levelBeginner
557 pages
19h 5m
English
CRC Press
Content preview from Data Analysis and Statistics for Geography, Environmental Science, and Engineering
212 Data Analysis and Statistics for Geography, Environmental Science, and Engineering
(continued)
Residuals:
Min 1Q Median 3Q Max
-8.251 -6.997 -2.225 5.129 19.459
Coefficients:
Estimate Std. Error t value Pr(>|t|)
(Intercept) 46.561 3.269 14.24 1.39e-12 ***
Depth -16.244 1.598 -10.16 8.96e-10 ***
---
Signif. codes: 0 ‘***’ 0.001 ‘**’ 0.01 ‘*’ 0.05 ‘.’ 0.1 ‘ ‘ 1
Residual standard error: 8.265 on 22 degrees of freedom
Multiple R-squared: 0.8245, Adjusted R-squared: 0.8165
F-statistic: 103.3 on 1 and 22 DF, p-value: 8.958e-10
>
Examining the summary, we see that we have a relatively high R
2
of 0.8; therefore, more than ¾
of the variance is explaine ...
Become an O’Reilly member and get unlimited access to this title plus top books and audiobooks from O’Reilly and nearly 200 top publishers, thousands of courses curated by job role, 150+ live events each month,
and much more.
Start your free trial

You might also like

Applied Modeling Techniques and Data Analysis 1

Applied Modeling Techniques and Data Analysis 1

Yannis Dimotikalis, Alex Karagrigoriou, Christina Parpoula, Christos H. Skiadas
Geospatial Data and Analysis

Geospatial Data and Analysis

Aurelia Moser, Jon Bruner, Bill Day

Publisher Resources

ISBN: 9781439885017