Course Curriculum
| Introduction to the course | |||
| Introduction | 00:03:00 | ||
| Single Linear Regression | |||
| Install R, RStudio and Basic Functionality | 00:08:00 | ||
| Basics of Linear Regression | 00:03:00 | ||
| Basics of Linear Regression Ctnd | 00:03:00 | ||
| Linear Regression Analysis | 00:09:00 | ||
| Linear Relationships | 00:09:00 | ||
| Line of Best Fit, SSE and MSE | 00:05:00 | ||
| Linear Regression Analysis Ctnd | 00:02:00 | ||
| Regression Results and Interpretation | 00:10:00 | ||
| Predicting Future Profits | 00:13:00 | ||
| Statistical Validity Tests | 00:09:00 | ||
| Statistical Validity Discussion | 00:07:00 | ||
| Single Linear Regression | 00:06:00 | ||
| Multiple Linear Regression | |||
| Single Linear Regression | 00:06:00 | ||
| Importing the data | 00:04:00 | ||
| Correlation Matrix and MLR | 00:08:00 | ||
| MLR Results and ANOVA | 00:07:00 | ||
| The Best Model? | 00:05:00 | ||
| Interaction Terms and Validity Testing | 00:18:00 | ||
| ANOVA and Predictions | 00:18:00 | ||
| Non-linear Regression | |||
| Non-linear Regression (and Recap) | 00:07:00 | ||
| Logistic Regression Overview | 00:22:00 | ||
| Logistic Regression: Odds, Logs and Poisson | 00:13:00 | ||
| Logistic Regression: Fitting the Models in R | 00:24:00 | ||
| Optimization Theory and Differential Calculus | |||
| Differential Calculus – Finding the Maximum and the Minimum | 00:15:00 | ||
| Differential Calculus: One Unknown Input | 00:08:00 | ||
| Analysis in R: One Unknown Input Differential Calculus | 00:29:00 | ||
| Differential Calculus – Two Unknown Inputs | 00:07:00 | ||
| Analysis in R: Two Unknown Inputs Differential Calculus | 00:44:00 | ||
| Downloadable Resources | |||
| Resource – Statistical Concepts and Application with R | 00:00:00 | ||
Review





