Project Part C: Regression and Correlation Analysis Back to Top
Using Minitab perform the regression and correlation analysis for the data on diabetes posttest (Y), the
dependent variable, and diabetes pretest (X), the independent variable, by answering the following.
Generate a scatterplot for diabetes posttest (Y) vs. diabetes pretest (X) including the graph of the “best
fit” line. Interpret.
Determine the equation of the “best fit” line, which describes the relationship between diabetes posttest
and diabetes pretest.
Determine the coefficient of correlation. Interpret.
Determine the coefficient of determination. Interpret.
Test the utility of this regression model (use a two tail test with α =.05). Interpret your results, including
Based on your findings in 1-5, what is your opinion about using diabetes pretest to predict diabetes
Compute the 95% confidence interval for beta-1 (the population slope). Interpret this interval. In an
attempt to improve the model, we attempt to do a multiple regression model predicting diabetes posttest
based on diabetes pretest and glucose.
Using Minitab, run the multiple regression analysis using the variables diabetes pretest and glucose to
predict diabetes posttest. State the equation for this multiple regression model.
Perform the Global Test for Utility (F-Test). Explain your conclusion.
Perform the t-test on each independent variable. Explain your conclusions and clearly state how you
should proceed. In particular, which independent variables should we keep and which should be
Is this multiple regression model better than the linear model that we generated in parts 1-7? Explain.
All DeVry University policies are in effect, including the plagiarism policy.
Project Part C report is due by the end of Week 7.
Project Part C is worth 100 total points. See grading rubric below.
Summarize your results from 1-11 in a report that is three pages or less in length and explains and
interprets the results in ways that are understandable to someone who does not know statistics.