SS2864Project

SS2864Proj repository

Intruduction

This learning is completed individually by Rui Zhu.

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

The github repository created can be found from https://github.com/AimerAndern/SS2864GroupProj

It contains following parts:

1. Description about the data set used this project

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

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

4. Test for interactions

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

6. Model diagnostics on one well-fit model

  ####### 6.1 Linearity<br/>
  ####### 6.2 Normality<br/>
  ####### 6.3 Equal variance<br/>
  ####### 6.4 Independence using time series<br/>

7. Conclusion