Section Info: STAT-340-01

Course Title: Applied Regression Methods

Start Date: 09/04/2019 End Date: 12/17/2019

Term: Fall Semester 2019

Description: This course includes methods for choosing, fitting, evaluating, and comparing statistical models; introduces statistical inference; and analyzes data sets taken from research projects in the natural, physical, and social sciences.

Distribution(s): II - Math & Sciences

Academic Level Of Course: Undergraduate

Credits:4.00

Faculty	Phone	Email address
Evan Ray		eray@mtholyoke.edu

Meeting Dates	Method	Meeting days	Meeting times	Building name	Room	Frequency
09/04/2019 - 12/17/2019	Lecture	Monday and Wednesday	09:30AM - 10:45AM	CLAP - Clapp Laboratory	402	Weekly
09/04/2019 - 12/17/2019	Fourth Hour of Class	Friday	09:30AM - 10:20AM	CLAP - Clapp Laboratory	402	Weekly

REGISTRATION DETAILS

Requisite Courses
Prereq: MATH-211 and STAT-242.	Take previously	Required

Comments

Additional Comments

Course Tags
NXDTA0001	NXDTA: Nexus in Data Analytics and Society	This course is approved for the Data Analytics
EOS-5	EOS-5: Data and Technical Analysis	This course has been approved to count towards the EOS minor in Area 5: Data and Technical Analysis
DATA0001	DATA-SCI: Data Science Core Course	This is a required core course of the Data Science major.

Cross-listed Sections

None

Course Availability
Section status: Open	Capacity: 18	Enrollment: 14	Available: 4	Waitlist: 0

BOOK INFORMATION

Book List	Required	Publisher Full Price
Title: An Introduction to Statistical Learning with Applications in R Author: James, Gareth, Witten, Hastie and Tibshirani Copyright: 2013 Edition: Volume: ISBN: 9781461471370 Publisher: Springer	Required	79.99

Additional Book Comments

This is the complete book list for this class.

Instructor's comments about the book list: A pdf of this book may be downloaded for free from the author's website at http://www-bcf.usc.edu/~gareth/ISL/