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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
338 Data Analysis and Statistics for Geography, Environmental Science, and Engineering
The strength of the linear relationship between independent variables X
1
and X
2
is collinearity.
More specically, X
1
and X
2
are perfect collinear if all pairs of observations are linearly related
aaXaX
ii
01122
0
++ =
(10.25)
Then, high correlation between X
1
and X
2
implies strong collinearity. When we have several
independent variables, we can have multicollinearity among these variables. More speci-
cally, there is perfect multicollinearity if there is a linear relationship among some of the inde-
pendent variables
aaXaXaX
ii kki01122
0
++ ++ =
(10.26)
Thus, high ...
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Publisher Resources

ISBN: 9781439885017