Section Info: STAT-340-01

Course Title: Applied Regression Methods

Start Date: 09/04/2024 End Date: 12/17/2024

Term: Fall Semester 2024

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
Isabelle Beaudry		ibeaudry@mtholyoke.edu

Meeting Dates	Method	Meeting days	Meeting times	Building name	Room	Frequency
09/04/2024 - 12/17/2024	Lecture	Monday, Wednesday and Friday	11:30AM - 12:45PM	CLAP - Clapp Laboratory	401	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.
DATA0003	DATA-SE: Data Science Elective Course	This course is an elective option for the Data Science major.

Cross-listed Sections

None

Course Availability
Section status: Closed	Capacity: 18	Enrollment: 19	Available: 0	Waitlist: 0

BOOK INFORMATION

Book List	Required	Publisher Full Price
Title: An Introduction to Statistical Learning with Applications in R Author: James, Gareth Copyright: 2021 Edition: 2 Volume: ISBN: 9781071614174 Publisher: Springer Science+Business Media, LLC part of Springer Nature	Required	82.01

Additional Book Comments

This is the complete book list for this class.

Instructor's comments about the book list: A pdf of the book can be downloaded for free from the library's website.