How do you validate a linear regression model?
Answers from top 9 papers
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| Papers (9) | Insight |
|---|---|
30 Citations | We show how to estimate the regression parameters consistently even if the assumed model for Y given X is incorrect, and thus the estimates are model robust. |
133 Citations | We further demonstrate the usefulness of linear correlation analysis as a first screening test for the validity of linear regression data. |
| The good numerical results validate the model. | |
| This approach can be used to validate the model as a whole. | |
14 Citations | The data set makes for an excellent case problem for demonstrating the development and evaluation of a linear regression model. |
91 Citations | Experimental results validate the model. |
| If the model is correct, then, if you believe its assumptions, you must, as a matter of logic, also believe its conclusions. | |
| We argue that the criteria for choosing a working model should be how often it correctly represents the statistical evidence about the object of interest (regression coefficient in the true model). | |
20 Citations | The results validate the model. |
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