Presentation
- ProjectPresentationInstructions
- PresentationGuildelines for regression project
- NEW SPRING 13! NBA Free Throw Percentages and Salaries (see comment below)
Project 2: Linear Regression
- Instructions
- sample surveys
- Examples
- Project-2-Plan
- New!! Sample from spring 12: (has one major flaw, excel spreadsheet does not contain all the raw data from the survey)sample_proj_2.docx, sample_proj_2.xls, sample_proj_2_survey
Linear regression involves 2 variables that are linked. The variables can not be categorical (such as a person’s favorite color), but instead must be numeric and the numbers should be meaningful. There must be at least 10 possible values for each variable so size of a household might not be distributed widely enough (most values would be between 1 and 7). A good example would be arms_width_vs_height. The example has units in cm. Each variable has a sufficient variety of values. The same example done with inches might not have enough variety of values. To do psychology studies, you may combine the outcomes from a variety of questions to get the requisite variety of values, e.g., the OCD survey in the “sample surveys”.
Project 1: Descriptive Statistics
ProjectInstructions_Descriptive
Proj_Descriptive_vA (vA_data) and Proj_Descriptive_vB (vB_data)
I like the sample presentation because it is mostly to the point. I would have dumped the slides towards the end entitled “Statistical Analysis and Statistical Analysis (cont.), as they don’t provide much information. Instead, I would have just explained it verbally using the scatterplot. That would have left a total of 9 slides, perhaps too many for a 10 minute presentation, but perfect for a 15 minute presentation.
One other nitpicking criticism or suggestion would be severely edit each slide to eliminate unnecessary articles and words. In some sense, the fewer words/ more concise the slide is the better.
Yes, we did good job with this project, but it was stressful. The time was short.