Course Description
A calculus-based mathematical inquiry on forecasting, using statistics and regression.
For information regarding prerequisites for this course, please refer to the Academic Course Catalog.
Course Guide
View this course’s outcomes, policies, schedule, and more.*
*The information contained in our Course Guides is provided as a sample. Specific course curriculum and requirements for each course are provided by individual instructors each semester. Students should not use Course Guides to find and complete assignments, class prerequisites, or order books.
Rationale
Statistics and regression analysis are the necessary foundations for economic forecasting and analytics as well as and managerial economics. These fields are all necessary for drawing conclusions based on data.
Course Assignment
Textbook readings and lecture presentations
No details available.
Course Requirements Checklist
After reading the Course Syllabus and Student Expectations, the student will complete the related checklist found in the Course Overview.
Homework Assignments (6)
The student will demonstrate understanding of topics covered.
Project Assignments (2)
Student will apply concepts from the course to a dataset of the student’s choosing. This culminating project is submitted in two parts. The first will present the motivation for choosing the dataset and some preliminary statistical results, the discussion portion of which should be at least 100 words. The second will be a 15-minute video presentation of the final results.
Quizzes: Exams (2)
There will be one midterm exam and a final exam. Both will be timed. Both will be open-book/open-notes, contain 1 file upload question, have a 2 hour time limit, and allow 1 attempt. The student will download the exam document linked in the quiz question, respond to the questions, and upload the document via the file upload link.
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