Forecasting techniques are used in a wide variety of fields. This course focuses
on quantitative, statitistical procedures, primarily regression analysis. This course fulfills
requirements for the Finance and Business Administration majors, and the Applied Statistics minor.
The purpose of daily review assignments is to provide timely review and
feedback on the basic course concepts and computational mechanics covered each day in
class. This structured regular review facilitates mastery of course material. Review
assignments are due at the beginning of the following class. They are checked simply
for reasonable effort, not accuracy. The following grade codes are used:
✔ — On time and reasonably complete. Receives full credit. 
L — Reasonably complete, but late. Receives half credit. 
☹ — Insufficiently complete, but on time. Receives half credit. 
X — Insufficiently complete and late. Receives no credit. 
Daily review assignments are distributed
in class. They are also available from the links below. (Many of the review assignment
webpages have links to more detailed solutions, in case you run into difficulty while
working on them.)
Lecture Review #1 
Lecture Review #11 
Lecture Review #21 
Lecture Review #31 
Lecture Review #2 
Lecture Review #12 
Lecture Review #22 
Lecture Review #32 
Lecture Review #3 
Lecture Review #13 
Lecture Review #23 
Lecture Review #33 
Lecture Review #4 
Lecture Review #14 
Lecture Review #24 
Lecture Review #34 
Lecture Review #5 
Lecture Review #15 
Lecture Review #25 
Lecture Review #35 
Lecture Review #6 
Lecture Review #16 
Lecture Review #26 
Lecture Review #36 
Lecture Review #7 
Lecture Review #17 
Lecture Review #27 
Lecture Review #37 
Lecture Review #8 
No Lecture Review #18 
Lecture Review #28 
Lecture Review #38 
No Lecture Review #9 
Lecture Review #19 
Lecture Review #29 

Lecture Review #10 
Lecture Review #20 
Lecture Review #30 

In addition to the daily reviews there are two extended
homework assignments for the semester. One involves reading and discussing
the book The Signal and the Noise, by Nate Silver. The other is
a semesterlong project assignment. These are detailed below.
