9 |
**09A: MLR, Intro. Recap of simple linear regression. Air quality example.(21 min)** |

9 |
**09B: MLR, Basics. The Multiple Linear Regression model and least squares fit. (15 min)** |

9 |
**09C: MLR, Model selection. Forward and backward model selection.(12 min)** |

9 |
**09D: MLR, Model validation. Residual plotting for normality check, variance homogeneity and non-linearity.(10 min)** |

9 |
**09E: MLR, Non-linearity. How to check for and deal with non-linear effects within the linear model: E.g. linear regression with quadratic input terms.(8 min)** |

9 |
**09F: MLR, Confidence and prediction Intervals. How to get Confidence intervals and prediction intervals in R.(7 min)** |

9 |
**09G: MLR, Colinearity. The consequence of x-inputs being correlated to each other.(16 min)** |

9 |
**09H: The overall MLR method - How to approach and proceed in an analysis (7 min)** |

9 |
Brief summary of Week 9 (Spring 2015) (7 min) |

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*Note that in the recordings this is Week 12, but now moved to Week 10* |

10 |
**10A: Intro To Proportions (Polls, risk of malformation of newborns, etc)(16 min)** |

10 |
**10B: Confidence Interval For One Proportion(15 min)** |

10 |
**10C: Sample Size Determination(9 min)** |

10 |
**10D: Hypothesis Test For One Proportion, Including Example(8 min)** |

10 |
**10E: Hypothesis Test and CI for Two Proportions (9 min)** |

10 |
**10F: The Chi-Square test: Hypothesis Test For Two And Several Proportions (18 min)** |

10 |
**10G: Analysis Of Contingency Tables (9 min)** |

10 |
**10H: Proportions and Chi-Square tests in R (14 min)** |

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*Note that in the recordings this is Week 10, but now moved to Week 11* |

11 |
**11A: Oneway Anova, Intro Example (15 min)** |

11 |
**11B: Oneway Anova, Model And Hypothesis (6 min)** |

11 |
**11C: Computation: Decomposition Of Variance, Anova Table (19 min)** |

11 |
**11D: F-Test, F-Distribution (10 min)** |

11 |
**11E: Oneway Anova, relation to 2-sample t-test. (9 min)** |

11 |
**11F: Oneway Anova, Post Hoc Comparison, confidence intervals and hypothesis testing. Bonferroni correction. (17 min)** |

11 |
**11G: Model control in one-way ANOVA. Residual investigation (4 min)** |

11 |
**11H: A worked through one-way ANOVA example using R (17 min)** |

11 |
Brief summary of Week 11 (Spring 2015) (10 min) |

- |
*Note that in the recordings this is Week 11, but now moved to Week 12* |

12 |
Lec 12 pre-Intro: Red cards to colored soccer players?? (6 min) |

12 |
**12A: Two-way Anova, Intro Examples (TV data) (19 min)** |

12 |
**12B: Two-way Anova, Model and estimates (7 min)** |

12 |
**12C: Two-way Anova: Computation: Decomposition Of Variance (7 min)** |

12 |
**12D: F-Test, F-Distribution, ANOVA table (13 min)** |

12 |
**12E: Two-way Anova, Post Hoc Analysis (17 min)** |

12 |
**12F: Model control in two-way ANOVA. Residual investigation. (5 min)** |

12 |
**12G: A worked through example of two-way ANOVA (25 min)** |

12 |
Brief summary of Week 12 (Spring 2015) (9 min) |

12 |
EXTRA MATH: Why is the F-statistic F-distributed? (8.5 min) |

12 |
EXTRA MATH: Parameter solutions in ANOVA models(12 min) |