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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
177
6
Regression
6.1 SIMPLE LINEAR LEAST SQUARES REGRESSION
Let Y be a random variable dened as the “dependent” or “response” variable, and X another ran-
dom variable dened as the “independent” or “factor” variable. Assume we have a joint sample x
i
,
y
i
, i = 1, …, n or a set of n paired values of the two variables. This is a bivariate or two-variable
situation. We already encountered this situation in Chapter 4 when we dened the covariance and
correlation coefcient. Let us start this chapter by considering the scatter plot or diagram, which
shows data pairs from a sample as markers on the x–y plane. As an example, Figure 6.1 shows pairs
of ...
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Publisher Resources

ISBN: 9781439885017