Ozone thickness data Time Series deterministic and stochastic model determination

pre-process user review data of Google Play applications to prepare it for analysis on the application’s effectiveness e.g. Correlations between Price, reviews and sentiments and to rank the apps in different categories.

The aim of this assignment to pre-process review data on applications on Google Play to prepare it for and analysis on the application’s effectiveness Eg. Correlations between Price, reviews and sentiments. The analysis itself is not within the scope of the assignment.

In this project we are looking to investigate four publicly available variables and their potential to predict the price of crude oil individually. The scope of the project is to use simple linear regression only to find the best predictor as that is what is within the course guidelines. The model can be further optimised with more complex models later on.