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# STAT8721 | Data Science GE Assignment 1 | Science

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PART A

Simple linear regression (SLR) is often used in Data Science. Describe and explain what are the roles of simple linear regression in Data Science. Illustrate with a real”world application for each of the role described. Briefly explain how they perform the roles.

Tips

Guideline: about 1000 words

First, give a brief description of Simple Linear Regression (SLR) Then explain the roles of SLR in Data Science
Find real”world examples illustrating the roles of SLR that you described.

Credible sources: e.g. journal/conference articles, government reports…etc

Briefly explain the scenarios of the real”world applications and the roles of SLR in the applications.
List your references under the heading ‘References’. Use Harvard style for referencing.

PART B

Prediction of Height from Metacarpal Bone Length

When anthropologists analyse human skeletal remains, an important piece of information is living stature. A method of predicting the height of an individual based on measurements of small bones in the skeletal remains is required. For a random sample of nine humans, the length of the metacarpal bone (mm) and the height (cm) were measured. Data as follow.

Tips

Guideline: about 1000 words (in report form)

Guideline for headings: Aim, introduction, method, results, interpretation, conclusions. Include all relevant plots, tables and figures (don’t forget table/figure captions)

The emphasis in PART B is good practice in performing Simple linear regression in Data Science as well as communicating results and findings effectively.
Brief guideline for the steps as follow:

What is the aim of the experiment/study? (i.e. This is the question that you are trying to find the answer to.)
What is the data science technique/method that you will use? o Perform the Exploratory Data Analysis (EDA)
Interpret the EDA with a focus on assessing if the assumptions in the technique/method are satisfied.
If justified, perform the technique/method. o Summarise your results and findings
Interpret your results and findings
Conclusions: what is the take home message