Industrial Engineering

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.