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Course Curriculum

Introduction
Welcome_Excel 00:00:00
What you should know_Excel 00:00:00
Exercise files_Excel 00:00:00
Oridinary Regression and Nominal Outcome Variables
The normality assumption_Excel 00:00:00
Recognize abnormal distribution_Excel 00:00:00
Forecast: Too high or too low_Excel 00:00:00
Manage different slopes_Excel 00:00:00
Solutions to Problems with Oridinary Regression
Use of odds instead of probabilities_Excel 00:00:00
Use of odds to limit the probabilities on the upside_Excel 00:00:00
Logs: exponents, bases, sum of logs, and the log of products_Excel 00:00:00
Use of log odds to limit the probabilities on the downside_Excel 00:00:00
Predict the log of the odds, the logit_Excel 00:00:00
Running a Logistic Regression in Excel
Set up the worksheet: Original data and logistic regression coefficients_Excel 00:00:00
Set up the logit column, the antilog column, and the probability column_Excel 00:00:00
Establish the log likelihood and run Solver_Excel 00:00:00
Interpret -2LL or deviance_Excel 00:00:00
Running a Binomial Logistic Regression in R
Install the mlogit package_Excel 00:00:00
Establish the data frame with XLGetRange_Excel 00:00:00
The mlogit function syntax_Excel 00:00:00
Use of glm instead of mlogit_Excel 00:00:00
Running a Multinomial Logistic Regression in R
Deal with problems introduced by three or more possible outcomes_Excel 00:00:00
Identify long versus wide data frames_Excel 00:00:00
The special mlogit syntax_Excel 00:00:00
Conclusion
Next Step_Excel 00:00:00

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PRIVATE COURSE
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  • 1 week, 3 days
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