Section Info: STAT-340-01

Course Title: Applied Regression Methods
Start Date: 01/27/2026 End Date: 05/12/2026
Term: Spring Semester 2026
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        
Ishfaaq Mohammed Imtiyas             iami@mtholyoke.edu  

Meeting Dates         Method         Meeting days         Meeting times         Building name         Room     Frequency    
01/27/2026 - 05/12/2026   Lecture   Monday, Wednesday and Friday   10:00AM - 11:15AM   TBA   TBA   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: Waitlisted     Capacity: 18     Enrollment: 18     Available: 0     Waitlist: 4
Please note: The "Available" count will equal 0 in a Waitlisted course where spaces in the course have recently opened and students have not yet been moved into them from the waitlist.

BOOK INFORMATION

Book List         Required         Publisher Full Price        
Title: An Introduction to Statistical Learning (with R)
Author: James, Gareth; and Witten, Hastie, and Tibshirani
Copyright: 2023
Edition:
Volume:
ISBN:
Publisher: Springer
Required   0.00  

Additional Book Comments        
This is the complete book list for this class.  
Instructor's comments about the book list: A digital copy can be downloaded for free at https://www.statlearning.com/.