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Diagnostics for MLR.
- Format:
- Video
- Series:
- Linear regression and modeling ; 18.
- Linear regression and modeling ; 18
- Language:
- English
- Subjects (All):
- Regression analysis--Mathematical models.
- Regression analysis.
- Physical Description:
- 1 online resource (1 video file (00:07:18)) : sound, colour.
- Other Title:
- Diagnostics for multiple linear regression
- Place of Publication:
- [Durham, North Carolina] : Duke Learning Innovation, 2016.
- Language Note:
- Closed-captioned in English.
- 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.
- Participant:
- Academic, Mine Cetinkaya-Rundel PhD.
- Notes:
- Description based on XML content.
- ISBN:
- 1-5296-9558-9
- 9781529695588
- OCLC:
- 1428510837
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