Diagnostics for MLR.
Dr. Mine Cetinkaya-Rundel discusses the conditions required for the multiple linear regression model to be valid: linear relationships between numerical explanatory variables and response variable, residuals nearly normally distributed, constant variability of residuals, and independence of residual...
| Other Authors: | |
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| Format: | Video |
| Language: | English |
| Language Notes: | Closed-captioned in English. |
| Published: |
[Durham, North Carolina] :
Duke Learning Innovation,
2016.
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| Series: | Linear regression and modeling ;
18. |
| Subjects: | |
| Online Access: | Connect to this streaming video |
| Summary: | Dr. Mine Cetinkaya-Rundel discusses the conditions required for the multiple linear regression model to be valid: linear relationships between numerical explanatory variables and response variable, residuals nearly normally distributed, constant variability of residuals, and independence of residuals. |
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| Physical Description: | 1 online resource (1 video file (00:07:18)) : sound, colour. |
| ISBN: | 9781529695588 1529695589 |