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ERIC Number: ED380507
Record Type: Non-Journal
Publication Date: 1995-Jan
Pages: 24
Abstractor: N/A
Reference Count: N/A
ISBN: N/A
ISSN: N/A
Least Squares Procedures.
Hester, Yvette
Least squares methods are sophisticated mathematical curve fitting procedures used in all classical parametric methods. The linear least squares approximation is most often associated with finding the "line of best fit" or the regression line. Since all statistical analyses are correlational and all classical parametric methods are least square procedures, it becomes imperative to understand just what the least squares procedure is and how it works. This paper illustrates the least squares procedure, starting with one independent variable and one dependent variable and generalizes to "n" independent variables with vector and matrix notation. Graphical representations and small heuristic examples are given. A brief generalization to nonlinear squares is presented. (Three tables and three figures illustrate the analysis. An appendix gives software commands for analysis. Contains 3 references.) (Author)
Publication Type: Reports - Evaluative; Speeches/Meeting Papers
Education Level: N/A
Audience: N/A
Language: English
Sponsor: N/A
Authoring Institution: N/A