If you are experiencing problems downloading PDF or HTML fulltext, our helpdesk recommend clearing your browser cache and trying again. If you need help in clearing your cache, please click here . Still need help? Email help@ingentaconnect.com

Evaluation of Correlation Coefficients Obtained with a Stepwise Regression Analysis

$29.00 plus tax (Refund Policy)

Buy Article:


The least-squares linear regression analysis is a valuable method of analyzing experimental data where there is no established theoretical relation between the variables being studied. The extent to which the variation of one variable can be predicted by another quantity that can be more readily measured is expressed by the correlation coefficient. The standard error of estimate indicates the precision of the prediction. In general, no single number will adequately indicate the quality of a relationship. This fact places a responsibility on the investigator to exercise sound judgment in evaluating the regression equation. Two methods of evaluation that are generally effective in identifying problems in the relationship are (1) to plot the results in a two-dimensional graph, and (2) to repeat the experiment. A nonlinear relationship was well as nonrandomness in the errors can be identified when the data are plotted. Repeated experiments can aid in the identification of variables that may influence the relationship, as well as inaccuracies, and can explain one's inability to extrapolate beyond the immediate data set.

Keywords: Analytical methods; Reflectance spectroscopy; Stepwise regression analysis

Document Type: Short Communication

DOI: http://dx.doi.org/10.1366/0003702854250031

Affiliations: Russell Research Center, USDA, ARS, Athens, Georgia 30613

Publication date: July 1, 1985

More about this publication?
Related content



Share Content

Access Key

Free Content
Free content
New Content
New content
Open Access Content
Open access content
Subscribed Content
Subscribed content
Free Trial Content
Free trial content
Cookie Policy
Cookie Policy
ingentaconnect website makes use of cookies so as to keep track of data that you have filled in. I am Happy with this Find out more