The Simple Regression Analysis Project is a required assignment

STAT220 Required Assessment: Simple Regression Analysis Project

The Simple Regression Analysis Project is a required assignment for STAT220: Introduction to Statistics. It represents 15% of the student’s course grade. The project requires that students not only perform the statistical procedures but also discuss the implication of these procedures to the underlying problem. Students demonstrate not just the mere mechanics of statistics, but understanding of the significance of statistical data. The project may be an individual or group project.

· POSE THE QUESTION

Before you even start thinking of the relationship to investigate you need to make sure you understand the concept of linear relationship from MATH 125 well. Then you should study the examples in the Course Notes and the Blackboard. Once you understand what kind of relationships can be investigated using linear regression, then you need to look for the availability of the data, and search for prior studies on this relationship. During the process it will be a good idea to confer with your instructors on the appropriateness of the topic and the data.

· DATA COLLECTION

One component of the Simple Regression Analysis Project involves data collection. Instructors may allow students to use existing data sets or require students to gather data by developing a survey that they create, on a topic of their choosing. Students may be encouraged to survey their place of work, or choose a topic related to their majors, if possible. Instructors also have the option of requiring that students obtain data from federal or state government websites, i.e., census or labor data.

The data set should have the following properties:

· The sample size should be at least 30 paired observations

· There are at least two quantitative variables to be used for the simple linear regression. Additional quantitative variables can be gathered if the student wishes to investigate which independent variable may be a better predictor of the dependent variable