| Course Title: Applied Regression Methods |
| Start Date: 08/24/2020 End Date: 10/15/2020 |
| Term: Fall Semester 2020 |
| 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         |
| Marie Ozanne   |           | mozanne@mtholyoke.edu   |
| Meeting Dates         | Method         | Meeting days         | Meeting times         | Building name         | Room     | Frequency     |
| 08/24/2020 - 10/15/2020   | Flex. Immersive Lecture   | Monday   | 09:45AM - 11:00AM   | TBA   | TBA   | Weekly |
| 08/24/2020 - 10/15/2020   | Flex. Immersive Lecture   | Tuesday and Thursday   | 09:30AM - 11:15AM   |   |   | Weekly |
| 08/24/2020 - 10/15/2020   | Flex. Immersive Lecture   | Wednesday and Friday   | 10:15AM - 11:15AM   |   |   | Weekly |
| 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.   |
| MOD0001   | MOD-1: Courses meeting in Module 1   | This course meets in Module 1.   |
| 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: Applied Regression Analysis & Generalized Linear Models Author: Fox, John Copyright: 2016 Edition: 3 Volume: ISBN: Publisher: Sage |
Required   | 106.00   |
| Additional Book Comments         |
| This is the complete book list for this class.   |