STATISTICS R STUDIO

Question 1

The R/R-Studio programming software contains a plethora of in-built datasets that are available for use. Many of these datasets are already clean and as such one can skip the process of cleaning the data and start with the analysis of data. Use the command 'data(package = .packages(all.available = TRUE))' to list the data sets in all available packages. Choose one data set in R that you can analyse using Multiple linear regression. Analyse the chosen dataset using the relevant model. Make sure you label all the figures (tables and plots).

This question should be structured as follows:

1. Introduction

Give a brief background of the data

Present and interpret the numerical and/or graphical summaries of the data

2. Discussion of methodology and data analysis results

Introduce the chosen method of analysis and motivate why it is suitable to analyse the data.

Briefly discuss the assumptions underlying the chosen model.

Fit the model to the data using the statistical software R.

i) If your chosen model is a Multiple regression model answer the questions that follow:

- Determine whether the assumptions of the model are met;