Statistics Project: Aristocrat Leisure Limited Case Study 2022
Added on 2022-09-18
8 Pages1225 Words12 Views
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Statistics Project: Aristocrat Leisure Limited
Name:
Institution:
Statistics Project: Aristocrat Leisure Limited
Name:
Institution:
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Executive Summary
The following study seeks to exhibit the descriptive statistics of the PWR (opening price
weekly return) and CWR (closely price weekly return) of both the Aristocrat Leisure and ASX
index. Moreover, the study will incorporate the simple regression analysis to test the predictive
power of PWR and CWR. Aristocrat Leisure Limited is an Australian based company that
engages in various activities, such as the production of casino gaming system, casino accessories,
furniture, and signage. Furthermore, the company provides technical supports and services, such
as casino consulting (finance, forecast, and revenue generation) and designing services. It is
evident that at 5% significance level both regression 1 and 2 recorded p-values of 0.32755 and
0.15494, which are greater than 0.05 thus the model is not adequate. Notably, to improve the
results of the regression it is recommendable to adopt other models, such as polynomial or
exponential models.
Executive Summary
The following study seeks to exhibit the descriptive statistics of the PWR (opening price
weekly return) and CWR (closely price weekly return) of both the Aristocrat Leisure and ASX
index. Moreover, the study will incorporate the simple regression analysis to test the predictive
power of PWR and CWR. Aristocrat Leisure Limited is an Australian based company that
engages in various activities, such as the production of casino gaming system, casino accessories,
furniture, and signage. Furthermore, the company provides technical supports and services, such
as casino consulting (finance, forecast, and revenue generation) and designing services. It is
evident that at 5% significance level both regression 1 and 2 recorded p-values of 0.32755 and
0.15494, which are greater than 0.05 thus the model is not adequate. Notably, to improve the
results of the regression it is recommendable to adopt other models, such as polynomial or
exponential models.
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Contents
Executive Summary.............................................................................................................2
Introduction..........................................................................................................................4
Descriptive Statistics...........................................................................................................5
Summary Statistics..........................................................................................................5
Simple Regression Analysis................................................................................................6
Regression 1.....................................................................................................................6
Regression 2.....................................................................................................................6
Conclusion...........................................................................................................................6
References............................................................................................................................7
Contents
Executive Summary.............................................................................................................2
Introduction..........................................................................................................................4
Descriptive Statistics...........................................................................................................5
Summary Statistics..........................................................................................................5
Simple Regression Analysis................................................................................................6
Regression 1.....................................................................................................................6
Regression 2.....................................................................................................................6
Conclusion...........................................................................................................................6
References............................................................................................................................7
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