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| Correlation | 2 |
| Multiple Regression Analysis | 2 |
| Computer Programs | 1 |
| Error Patterns | 1 |
| Hypothesis Testing | 1 |
| Predictor Variables | 1 |
| Simulation | 1 |
| Statistical Significance | 1 |
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| Multiple Linear Regression… | 2 |
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| Pohlmann, John T. | 2 |
| Moore, James F. | 1 |
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| Journal Articles | 1 |
| Reports - Research | 1 |
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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 reviewedPohlmann, John T. – Multiple Linear Regression Viewpoints, 1979
The type I error rate in stepwise regression analysis deserves serious consideration by researchers. The problem-wide error rate is the probability of selecting any variable when all variables have population regression weights of zero. Appropriate significance tests are presented and a Monte Carlo experiment is described. (Author/CTM)
Descriptors: Correlation, Error Patterns, Multiple Regression Analysis, Predictor Variables
