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FE7066 Data Analysis for Global Business Individual Coursework 001 Assessment Brief 2026/27

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Published: 01 Apr, 2026
Category Assignment Subject Business
University London Metropolitan University (LMU) Module Title FE7066 Data Analysis for Global Business

FE7066 Data Analysis for Global Business Individual Coursework 001 Assessment Brief

A.Coursework Requirements:

Write a report:

  • Write an individual report of 1,000 words

Required Data for Analysing UK Inflation Dynamics

  • Consumer Price Index (CPI)
  • Money Supply (M4)
  • Oil Prices (Crude Oil Index)
  • Exchange Rate (US exchange rate)
  • Interest Rates (UK Gilt 3 month)
  • Wages (Average weekly earnings)

The data are available on Weblearn under: "Assessment" --> "Assessment Brief Comp 001: Individual Coursework 001 (1000 Words) 30%" --> "Assessment Details and Marking Criteria".

Time Period: January 2000 - November 2025
Frequency: monthly

1.Introduction and Data Visualization (30 Marks)

Requirements:

1.Define each variable
2.Discuss its economic significance in relation to inflation (using academic literature and external reference).

Define Dependent Variable and Independent Variables

Dependent variable: UK inflation (e.g., Consumer Price Index - CPI).
Independent variables: Money Supply (M4), Oil Prices (Crude Oil Index), Exchange Rate (US Exchange Rate), Interest Rates (UK Gilt 3-month), Wages (Average Weekly Earnings).

Generate time-series

Genr (Workfile menu)  Formula

Generate time-series graphs (e.g. line, scatter plot)
Visualize data trends (time series graph, scatter plot)
Quick (main menu) Graph

2.Summary Statistics (30 Marks)

View Descriptive Statistics
Descriptive statistics (mean, variance, skewness, kurtosis)
Quick (main menu)  Series Statistics  Histogram and Stats
Quick (main menu)  Group Statistics  Descriptive Statistics  Common sample

Provide correlation matrix
Quick (main menu)  Group Statistics  Correlation Type the series (variables) names in the box

3.Augmented Dickey-Fuller (ADF) Unit Root Test (30 Marks)

Perform unit root test (ADF test)
Quick (main menu)  Series Statistics  Unit Root Test  enter Series Name (here ‘cpi) ADF test  Level

Check if the variable is non-stationary
If p-value > 0.05, the variable is non-stationary, and differencing (dlog) is needed.

To perform ADF test for the first-difference of GDP
From Unit Root test results:
View (Workfile menu) Time Series Diagnostics  Unit Root Test  Standard Unit Root Test ADF test  1st difference

Notes: In time series econometrics, the Augmented Dickey-Fuller (ADF) test is used to determine whether a variable is non-stationary at its levels (i.e., whether it has a unit root). If a variable is found to be non-stationary at its levels but stationary at its first difference (i.e., it follows an I(1) process), then taking the first difference is typically necessary to achieve stationarity.

B.Expected Report Structure

Cover Page
Table of Contents

Abstract

1.Introduction

2.Analysis of UK Inflation Dynamics
2.1Research Overview

  • Theoretical analysis
  • Research design 
  • Research hypothesis
  • Model construction and variable definition

2.2Descriptive statistics
2.3ADF Unit Root Test

3.Conclusion

Reference

Appendix A: Pricing Calculations 

C.Allocation of the marks

1.Introduction and Data Visualization (30 Marks)
2.Summary Statistics (30 Marks)
3.Augmented Dickey-Fuller (ADF) Unit Root Test (30 Marks)
4.Presentation, Structure, and Referencing (10 Marks)

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