Descriptor
Source
| Multiple Linear Regression… | 7 |
Author
| Burkholder, Joel H. | 1 |
| Dufala, M. M. | 1 |
| Jordan, Thomas E. | 1 |
| Marquette, J. F. | 1 |
| Moore, James F. | 1 |
| Newman, Isadore | 1 |
| Pohlmann, John T. | 1 |
| Rosenthal, William | 1 |
| Spaner, Steven D. | 1 |
| Vasu, Ellen Storey | 1 |
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| Journal Articles | 1 |
| Reports - Research | 1 |
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Peer reviewedMarquette, J. F.; Dufala, M. M. – Multiple Linear Regression Viewpoints, 1978
Ridge regression is an approach to ameliorating the problem of large standard errors of regression estimates when predictor variables are highly intercorrelated. An interactive computer program is presented which allows for investigation of the effects of using various ridge regression adjustment values. (JKS)
Descriptors: Computer Programs, Multiple Regression Analysis, Predictor Variables
Peer reviewedPohlmann, John T.; Moore, James F. – Multiple Linear Regression Viewpoints, 1977
A technique is presented which applies the Neyman theory of confidence intervals to interval estimation of the squared multiple correlation coefficient. A computer program is presented which can be used to apply the technique. (Author/JKS)
Descriptors: Computer Programs, Correlation, Hypothesis Testing, Multiple Regression Analysis
Peer reviewedJordan, Thomas E. – Multiple Linear Regression Viewpoints, 1978
The use of interaction and non-linear terms in multiple regression poses problems for determining parsimonious models. Several computer programs for using these terms are discussed. (JKS)
Descriptors: Computer Programs, Data Analysis, Mathematical Models, Multiple Regression Analysis
Peer reviewedBurkholder, Joel H. – Multiple Linear Regression Viewpoints, 1978
An existing computer program for computing multiple regression analyses is made interactive in order to alleviate core storage requirements. Also, some improvements in the graphics aspects of the program are included. (JKS)
Descriptors: Computer Graphics, Computer Programs, Computer Storage Devices, Multiple Regression Analysis
A Study of Three Treatments for Menstrual Difficulties: An Analysis Using Multiple Linear Regression
Peer reviewedRosenthal, William; Spaner, Steven D. – Multiple Linear Regression Viewpoints, 1978
A data set from the area of clinical psychology was used to show how multiple regression analysis could be used where analysis of variance might more commonly be used. (JKS)
Descriptors: Analysis of Variance, Clinical Psychology, Computer Programs, Data Analysis
Peer reviewedVasu, Ellen Storey – Multiple Linear Regression Viewpoints, 1978
The construction and interpretation of confidence intervals for the prediction of new cases in multiple regression analysis is explained. An example is provided. (JKS)
Descriptors: Computer Programs, Data Analysis, Goodness of Fit, Multiple Regression Analysis
Peer reviewedNewman, Isadore; And Others – Multiple Linear Regression Viewpoints, 1979
A Monte Carlo simulation was employed to determine the accuracy with which the shrinkage in R squared can be estimated by five different shrinkage formulas. The study dealt with the use of shrinkage formulas for various sample sizes, different R squared values, and different degrees of multicollinearity. (Author/JKS)
Descriptors: Computer Programs, Correlation, Goodness of Fit, Mathematical Formulas


