辅导案例-302H1F

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STA302H1F / 1001HF Autumn 2020 Assignment # 1
Posted by: Dr. Shivon Sue-Chee on Sunday, September 13, 2020
Due: In peerScholar by 8pm on Saturday, September 26, 2020.
Late assignments will be subjected to a penalty of 20% per day late. Submissions will not
be accepted beyond 48 hours of the due date. Email submissions are not allowed.
Instructions:
• Use R Studio to create two files:
1. An Rmarkdown file with your codes according to the standard format in the A1 a20 RMForm.Rmd
file.
2. A corresponding report in html or pdf format.
• Two separate submissions into peerScholar are required. Please find the links in our website.
• This assignment will be subjected to a peer review. For the sake of privacy, please avoid revealing
your full identity in your written work; instead use your initials and up to the last four digits of your
student number.
• Presentation of your report is very important. Do not show R codes unless it is required for your
solutions. Only required numbers and plots should be shown. Extraneous output should be hidden.
Use options, include=FALSE, echo=FALSE, message=FALSE, where necessary.
• Write and submit your own work. For instance, personalized your code as much as possible, using
your initials. All plots produced must be given a title with the last 4 digits of your student
number.
• If you worked with a group to obtain data, specify your group code or name in your introduction.
• Use a benchmark significance level of 5%. Report p-values to 4 decimal places.
Grading Scheme: A grading rubric will be provided for this assignment.
The Data
The data should be the forearm length and height measurements, in centimetres, of 9 or 10 or 11 adults
of our class, including yours. You may get data during live class or a data file provided by September 17.
Based on your sample data, complete an RMarkdown file and the corresponding report with the following
sections.
I. Introduction section.
• Using words, give a title to summarise what your assignment #1 is about. This title should also
be the title of your RMarkdown file.
• Describe how your sample data was collected.
• Specify your explanatory variable and response variable and, give a brief explanation of your
choice.
II. Exploratory data analysis section.
• Draw at most 3 plots to visually describe your data. Is your response variable approximately
Normal?
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• Numerically describe the centre, spread and any unusual points of your variables/data.
III. Methods and Model section.
• Fit and describe a linear regression model between forearm length and height.
• Are the regression parameters zero?
• Interpret the estimates of the regression parameters.
IV. Discussion and Limitations section.
• Identify a potential lurking variable. Describe at least one other issue or limitation of your fit.
You may include at most one plot to support your answer here.
• Identify another pair of variables to explore a simple linear regression model. Specify the response
variable.
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