IntroductionBeing able to talk about and understand linear regression is really important. It can be easy to misinterpret results, or to be seduced by the fancy-sounding phrase "linear regression"! As Data Scientists, you should be able to look at a chart and see if it really backs up the claim. Turn to Page 61 and see if you can spot what’s wrong with each claim!
Writing Up Your Findings
Writing Up Your Findings(Time flexible)
Writing Up Your FindingsThroughout this course, you’ve been learning new methods of visualizing data, measuring center, and searching for correlations and meaning. You’ve had a chance to explore your dataset thoroughly, and become an expert on the ins, outs, and outliers within it. What have you found so far? Turn back to Page 59, and share your most interesting finding with the students sitting nearby.
Have students share back some of their findings. Challenge them to use precise language, addressing the direction and strength of their correlations and use r-squared in their explanations.
Almost every unit in your student workbook has information about your analysis. It’s time to take those pages and write them up as a formal research paper!
Make sure students are doing following these steps carefully!
In the Research Paper, you’ll find sections that correspond to pages in your workbook that are about your dataset.
For each page, write up your findings in the Research Paper. You should include tables, charts and graphs, along with paragraphs that explain each one. Make sure to write down your thinking, so that another Data Scientist could understand why you performed your analysis.
At this point, students are done! Have students present their findings to one another, or host a Data Science Fair!