Assignments
Final: (due in Canvas by Friday March 10, 2023 or end of finals week.)
Do the following:
- From Section 7.10 Exercise 4
- From Section 9.11 Exercise 7a,7b
Homework06: (due in Canvas by Friday March 10, 2023 or end of finals week.)
Using the provided R Project, rename the file lastname_firstname_Stat474_Homework06.qmd using your own last name and first name in the filename.
Upload two files to Canvas. Your .pdf or .doc and your .qmd files. Do not upload a .zip file!
- Read: Read: Chapter 9
Do the following:
- From Section 9.11 Exercises 1, 2, 6, 8, 10
- For Exercise 8a use the log transformation or use box-cox.
- For Exercise 10b use the log transformation or use box-cox.
Homework05: (complete by Monday February 27, 2023)
Using the provided R Project, rename the file lastname_firstname_Stat474_Homework05.qmd using your own last name and first name in the filename.
Upload two files to Canvas. Your .pdf or .doc and your .qmd files. Do not upload a .zip file!
- Read: Read: Chapter 7 and Chapter 8
Do the following:
- From Section 7.10 Exercises 1, 2
- From Section 8.8 Exercises 5, 7
- Project: (due in Canvas by Friday March 10, 2023 or end of finals week.)
Install the COVID19 Data Hub R package. Select at least two countries to work with of interest to you and make forecasts of the number of cases for the next 12 months.
Build the following models:
- Build a linear regression model using TSLM().
- Build an appropriate exponential smoothing model.
In your Quarto Notebook show the the fitted values on a time plot and show your forecasts with errors.
These lines of R code cannot be copied into an R notebook. Something happens to the quotes and that problem causes the code to fail to run.
covid_data <- covid19(c(“United States”))
covid_data <- covid_data %>% as_tsibble(key = “id”, index = “date”)
You can type these lines of code directly or you can use the following Quarto Project to get started.
Midterm: (due in Canvas by Friday February 24, 2023)
Download and unzip the Midterm Quarto Project. Complete the exam in the Quarto Notebook. Render the Quarto Notebook to a .pdf or .docx file. Submit the .qmd file and either the .pdf or .docx file on Canvas.
Quiz01: (due in Canvas by Monday February 20, 2023)
- Download and unzip the Quiz Quarto Project. Complete the quiz in the Quarto Notebook. Render the Quarto Notebook to a .pdf or .docx file. Submit the .qmd file and either the .pdf or .docx file on Canvas.
Homework04: (complete by Monday February 20, 2023)
Using the provided R Project, rename the file lastname_firstname_Stat474_Homework04.qmd using your own last name and first name in the filename.
Upload two files to Canvas. Your .pdf or .doc and your .qmd files. Do not upload a .zip file!
- Read: Chapter 5 and Chapter 6
Do the following:
- From Section 5.11 Exercises 1, 2, 3, 7
Homework03: (complete by Monday February 13, 2023)
Using the provided R Project, rename the file lastname_firstname_Stat474_Homework03.qmd using your own last name and first name in the filename.
Upload two files to Canvas. Your .pdf or .doc and your .qmd files. Do not upload a .zip file!
- Read: Chapter 4
Do the following:
- From Section 4.6 Exercises 1, 3
Homework02: (complete by Monday February 6, 2023)
Using the provided R Project, rename the file lastname_firstname_Stat474_Homework02.qmd using your own last name and first name in the filename.
Upload two files to Canvas. Your .pdf or .doc and your .qmd files. Do not upload a .zip file!
- Read: Chapter 3
Do the following:
- From Section 3.8 Exercises 7, 8, 9, 10
Homework01: (complete by Monday January 30, 2023)
Using the provided R Project, rename the file lastname_firstname_Stat674_Homework01.qmd using your own last name and first name in the filename.
Upload two files to Canvas. Your .pdf or .doc and your .qmd files. Do not upload a .zip file!
- Read: Preface, Chapter 1, Chapter 2, and Appendix: Using R
- Download an install the current version of R and RStudio.
Do the following:
- From Section 2.10 Exercises 1, 4, 7, 8