Industrial Engineering

Regression
Assignment Objectives:
1.    Practice entering data into Minitab.
2.    Practice applying and interpreting data from a Regression
3.    Practice creating and interpreting graphs for Regression data
4.    Practice presenting data to an audience.
Step 1:
a.    Think of a relationship you are interested in learning more about, for instance, is one’s grade in a tutorial class a good predictor of his/her GPA?
b.    Then create a hypothesis statement to represent your relationship of interest (i.e. H0 and HA).
c.    Collect data to use in your analysis; or use data that we have already collected (e.g. Stroop data, Caliente Study data or Information Processing data); or you can find some other data that has already been gathered, on the Internet, for example.
d.    Enter collected data into a Minitab spreadsheet.
Step 2:
Complete a regression on the data to see if one variable (the IV) is a good predictor of another variable (the DV).
Your output should include:
a.    the ANOVA output with R and R-squared values
b.    Residual graphs
c.    Do you accept or reject your hypothesis?  Explain what this means in English.