SS3859GroupProject

SS3859GroupProj repository

Intruduction

This project is completed jointly by Yixu Wang, Jiaqi Dong, Rui Zhu.

The dataset used can be found from https://archive.ics.uci.edu/ml/datasets/Beijing+PM2.5+Data

It contains following parts:

Early steps

1. Calculate p-value for each predictor (Single parameter test)(RuiZhu)

2. Come out with some hypothese that which predictors are not significant (Nested model + ANOVA)(Rui Zhu)

3. Test for interactions (details yet to come)(Rui Zhu)

4. Variable selection (Rui Zhu)(which variables to keep, based on previous results and AIC, BIC or PRESS test)

5. Model diagnostics on one well-fit model(Rui Zhu)

  ###### 4.1 Linearity<br/>
  ###### 4.2 Normality<br/>
  ###### 4.3 Equal variance<br/>
  ###### 4.4 Independence using time series (difficult)<br/>

6. Check for unusual observations (Cook's distance for outliers or graphs)

7. See if response transformation is needed (Variance stabilization or box-cox transformation)

8. Check if predictors have multicollinearity (VIF)

Finishing up

9. Come to conclusion and finish report

Add more parts you are interested about and make it become your To-do-list! Make sure you name your rmd file or r script file with your full name and task number.