(Note that we’ve skipped “Class 12” in our numbering–I postponed it
until later in the semester.)
Please complete before the next class.
Make sure that you’ve completed all previous HW first.
Read chs. 7 and 8 of FPP and do the assigned review exercises here.
Make sure that if I give you several sets of paired observations,
such as X = [1, 2, 3, 4, 5] and Y = [1, 3, 2, 4, 6], you can calculate
and interpret the correlation coefficient. You can test yourself by
logging in to your Google account and then copying this
Google Sheet. Also, make sure you can roughly link a particular
scatterplots with it’s correlation coefficient (see Exercise 9.1 in the
To see the process I recommend, watch this
video. (There’s also a low-quality
version if speed becomes an issue.) In this video, I walk through
how to calculate a correlation coefficient. There will
be an exam question that asks you to do this entire process. (Other
questions will ask about parts of the process.)
Read chs. 7, 8, and 9 from my notes. There’s substantial overlap with
chs. 7 and 8 from FPP, so you may be able to skim some of the content.
Make sure that you can draw a scatterplot in R (see Exercise 8.1),
compute a correlation coefficient in R (see Exercises 9.4 and 9.5)