%0 Journal Article
%T Working with Color Readings: Application of Regression Models for Determining the Concentration of Substance
%A Xinyuan Pan
%A Yan Cui
%J Open Access Library Journal
%V 5
%N 2
%P 1-10
%@ 2333-9721
%D 2018
%I Open Access Library
%R 10.4236/oalib.1104377
%X <div style="text-align:justify;">
	<span style="line-height:1.5;">This study first
considered using 5 dimensions/variables of color readings (including blue,
green, saturation, red, hue) to predict the concentration of matter. The
procedure was demonstrated using internet acquired data in the public domain. A
stepwise regression method based on software MATLAB was used to build a model
to predict the concentration of the sulfur dioxide. In the course of the study,
we also discussed other linear or non-linear models to predict the
concentration of the sulfur dioxide, but these models didn¡¯t perform as the former,
which may be due to the strong collinearity between the orig</span><span style="line-height:1.5;">inal data
variables. Statistical test results of the model including the number of
observations, root mean squared error, adjusted R-square, F-statistic vs
constant model were shown to assess the reliability. We also carried out error
analysis and discussion.</span>
</div>
%K Stepwise Regression
%K Statistical Test
%K Colorimetry
%K Concentration of  Substances
%U http://www.oalib.com/paper/5293119