DA; Assignment III
Week 4
20/09/2021 – 23/09/2021
Contents
Week 3: Assignment III 2
Part I – Simple Linear Regression: 3
Question 1 3
Question 2 3
Question 3 3
Question 4 3
Question 5 3
Part II – Multiple Linear Regression: 4
Question 6 4
Question 7 4
Question 8 4
Question 9 4
Question 10 4
Question 11 4
Question 12 4
Part III – AN(C)OVA: 5
Question 13 5
Question 14 5
1
, Week 4: Assignment III
In this individual assignment, you must incorporate the elements learned throughout the first four weeks of
the Data Analytics course. This means that you will use aspects related to simple linear regression,
AN(C)OVA, multiple linear regression, as well as some (basic) R-programming functions throughout this
assignment. Please notice the importance of adequately discussing (and showing) the relevant outcomes of
your analyses.
Please read the following information carefully:
• This assignment is to be completed individually
• You must upload the full assignment on Canvas by Thursday, 23rd of September by 15h
• While working on the assignment, do not forget to regularly click on the save button to avoid losing
progress. It is good to develop a habit of regularly typing CTRL (CMD) + s to avoid any accidents with R
Studio crashing and so on.
• Errors that you may encounter often come from issues with minor typos, such as spacing, capital letters,
missing brackets, etc.
NOTE:
Please make sure that you download the datasets that correspond to the last number of your UM student
number (i.e., download the datasets that have the same number as the last number of your UM student
number - For example, if the last number of your UM student number is a ‘5’: please download “data1.5” and
“data2.5”).
2
Week 4
20/09/2021 – 23/09/2021
Contents
Week 3: Assignment III 2
Part I – Simple Linear Regression: 3
Question 1 3
Question 2 3
Question 3 3
Question 4 3
Question 5 3
Part II – Multiple Linear Regression: 4
Question 6 4
Question 7 4
Question 8 4
Question 9 4
Question 10 4
Question 11 4
Question 12 4
Part III – AN(C)OVA: 5
Question 13 5
Question 14 5
1
, Week 4: Assignment III
In this individual assignment, you must incorporate the elements learned throughout the first four weeks of
the Data Analytics course. This means that you will use aspects related to simple linear regression,
AN(C)OVA, multiple linear regression, as well as some (basic) R-programming functions throughout this
assignment. Please notice the importance of adequately discussing (and showing) the relevant outcomes of
your analyses.
Please read the following information carefully:
• This assignment is to be completed individually
• You must upload the full assignment on Canvas by Thursday, 23rd of September by 15h
• While working on the assignment, do not forget to regularly click on the save button to avoid losing
progress. It is good to develop a habit of regularly typing CTRL (CMD) + s to avoid any accidents with R
Studio crashing and so on.
• Errors that you may encounter often come from issues with minor typos, such as spacing, capital letters,
missing brackets, etc.
NOTE:
Please make sure that you download the datasets that correspond to the last number of your UM student
number (i.e., download the datasets that have the same number as the last number of your UM student
number - For example, if the last number of your UM student number is a ‘5’: please download “data1.5” and
“data2.5”).
2
