Logistic Regression in R and Excel
Master Advanced Excel Data & Analytics Skills,
Business decisions are often binary: take on this project or put it off for a year; extend credit to this customer or insist on cash; open a new retail outlet in a particular location or find another spot. When an outcome is a continuous variable such as revenue, ordinary regression is often a good technique, but when there are only two outcomes, logistic regression usually offers better tools.
Contents:
- Introduction
- 1. Ordinary Regression and Nominal Outcome Variables
- 2. Solutions to Problems with Ordinary Regression
- 3. Running a Logistic Regression in Excel
- 4. Running a Binomial Logistic Regression in R
- 5. Running a Multinomial Logistic Regression in R
- Conclusion
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| Rating | Not enough ratings |
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| Length | 1h 37m |
| Starts | On Demand (Start anytime) |
| Cost | $29/month (Access to entire library- free trial available) |
| From | LinkedIn Learning |
| Instructor | Conrad Carlberg |
| Download Videos | Only via the LinkedIn Learning mobile app |
| Language | English |
| Subjects | Data Science Business Programming |
| Tags | Data Analysis Business Big Data Office 365 R Microsoft Excel Statistics R (Programming Language) |
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| Rating | Not enough ratings |
|---|---|
| Length | 1h 37m |
| Starts | On Demand (Start anytime) |
| Cost | $29/month (Access to entire library- free trial available) |
| From | LinkedIn Learning |
| Instructor | Conrad Carlberg |
| Download Videos | Only via the LinkedIn Learning mobile app |
| Language | English |
| Subjects | Data Science Business Programming |
| Tags | Data Analysis Business Big Data Office 365 R Microsoft Excel Statistics R (Programming Language) |
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