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? 1 • 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. 2
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