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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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