See below for some instructions about the two projects–both are due this Friday (Dec 18), but the linear regression project is optional and will be counted as extra credit:
- Commute time project: this project is required. Either print out your spreadsheet to hand in Wednesday with the final, or email me a link to your spreadsheet before Friday (if you’re using Google, it’s best to use the “Share” button to make sure I can view it with the link; if you’re using Excel, you can email it as an attachment). Look at this post for what your commute time spreadsheet should include (including a link to a sample project spreadsheet I created).
- Linear regression project: this project will count as extra credit. Again, you can either print out a hardcopy to hand in, or email me your spreadsheet. Your project should include the following:
- a scatterplot of your paired data set, including the “trendline” (i.e., the linear regression line)
- the correlation coefficient and the linear regression parameters (slope and y-intercept)
- a brief written description (1-2 paragraphs) about the scatterplot and statistics (e.g., how strongly are the variables correlated? is the linear regression line a good model? are there any outliers?)
- you can refer to the solutions to the exam questions about paired data sets and linear regression for examples of how to write about these topics (Exam #1, Question #4 & Exam #2, Question #5)