Lynda – Learning Logistic Regression in R and Excel-0daytown

Lynda – Learning Logistic Regression in R and Excel
Size: 249 MB | Duration: 1h 37m | Video: AVC (.mp4) 1280×720 15&30fps | Audio: AAC 48KHz 2ch
Genre: eLearning | Level: Advanced | Language: English
Generate forecasts quickly using R and be able to support and defend your projections with Excel. Learn how to use these tools to analyze data in this course with Conrad Carlberg. He takes you through advanced logistic regression, starting with odds and logarithms and then moving on into binomial distribution and converting predicted odds back to probabilities. After this foundation is established, he shifts the focus to inferential statistics, likelihood ratios, and multinomial regression. Conrad’s comprehensive coverage of how to perform logistic regression includes tackling common problems, explaining relationships, reviewing outcomes, and interpreting results.

Topics include:

* Recognizing abnormal distribution
* Forecasting high or low
* Managing different slopes
* Using odds instead of probabilities
* Limiting probabilities on the upside or downside
* Working with exponents and bases
* Predicting the logit
* Working with original data and coefficients
* Establishing the Log Likelihood
* Interpreting -2LL or deviance
* Establishing a data frame with XLGetRange
* Using mlogit or glm
* Identify long versus wide data frames