STATS 413 - Applied Regression Analysis
Section: 001
Term: FA 2017
Subject: Statistics (STATS)
Department: LSA Statistics
Credits:
4
Requirements & Distribution:
BS
Credit Exclusions:
No credit granted for those who have completed or enrolled in STATS 500.
Enforced Prerequisites:
[MATH 214, OR MATH 217 OR MATH 417] AND [(STATS 250 AND MATH/STATS 425) OR STATS 412 OR STATS 426].
BS:
This course counts toward the 60 credits of math/science required for a Bachelor of Science degree.
Repeatability:
May not be repeated for credit.
Primary Instructor:

This course covers traditional and modern topics in regression analysis. It is aimed primarily at undergraduate majors in Statistics and Data Science.

STATS 413 - Applied Regression Analysis
Schedule Listing
001 (LEC)
 
27548
Open
6
 
-
MW 2:30PM - 4:00PM
002 (LAB)
P
27555
Closed
0
1STATS Maj
5DATA SCIENCE
-
F 9:00AM - 10:00AM
003 (LAB)
P
27556
Open
3
9STATS Maj
1DATA SCIENCE
-
F 10:00AM - 11:00AM
004 (LAB)
P
27810
Closed
0
3STATS Maj
1DATA SCIENCE
-
F 2:00PM - 3:00PM
NOTE: Data maintained by department in Wolverine Access. If no textbooks are listed below, check with the department.


ISBN: 9781439887332
Linear models with R, Author: Julian J. Faraway. 2nd editio 2014
Optional
"An introduction to statistical learning : with applications in R" is available online at http://www-bcf.usc.edu/~gareth/ISL/ ISBN:9781461471370
Optional
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