Descriptor
| Equations (Mathematics) | 1 |
| Estimation (Mathematics) | 1 |
| Least Squares Statistics | 1 |
| Mathematical Models | 1 |
| Regression (Statistics) | 1 |
| Research Methodology | 1 |
| Robustness (Statistics) | 1 |
Source
Author
| Blankmeyer, Eric | 1 |
Publication Type
| Numerical/Quantitative Data | 1 |
| Reports - Descriptive | 1 |
Education Level
Audience
Location
Laws, Policies, & Programs
Assessments and Surveys
What Works Clearinghouse Rating
Download full textBlankmeyer, Eric – 1993
Ordinary least-squares regression treats the variables asymmetrically, designating a dependent variable and one or more independent variables. When it is not obvious how to make this distinction, a researcher may prefer to use orthogonal regression, which treats the variables symmetrically. However, the usual procedure for orthogonal regression is…
Descriptors: Equations (Mathematics), Estimation (Mathematics), Least Squares Statistics, Mathematical Models
