Course

Course Summary
Credit Type:
Course
ACE ID:
STAT-0009
Organization's ID:
642
Organization:
Statistics.com
Location:
Online
Length:
4 weeks
Dates Offered:
Credit Recommendation & Competencies
Level Credits (SH) Subject
Upper-Division Baccalaureate 3 Regression Analysis
Description

Objective:

The course objective is to cover the principles and applications of regression analysis. Students learn about simple and multiple linear regression, model building techniques, and addressing various issues that can arise in regression analysis. The course includes practical assignments each week to reinforce learning.

Learning Outcomes:

  • Evaluate regression models using appropriate statistical measures.
  • Address practical issues in regression analysis, such as multicollinearity and missing data.
  • Test model assumptions
  • Deal with qualitative predictors
  • Transform predictors and response variables to improve model fit
  • Handle interactions among predictors
  • Deal with autocorrelation, multicollinearity, and missing data
  • Exercise appropriate caution with respect to extrapolation
  • Assess parameter estimates globally, in subsets, and individually
  • Understand the foundations of simple and multiple linear regression.
  • Develop skills in model building and checking model assumptions.
  • Identify influential points

General Topics:

  • Foundations and Simple Linear Regression
  • Multiple Linear Regression
  • Model Building
Instruction & Assessment

Instructional Strategies:

  • Discussion
  • Lectures
  • Practical Exercises
  • Textbook readings

Methods of Assessment:

  • Other
  • Graded practical exercises and discussion forums

Minimum Passing Score:

73%
Supplemental Materials