Math 3080 - 1      Term Project Checklist         April 25, 2016
Treibergs

Name__________________________________ Project Score [    / 90 ]

1. Regression Models for Sailboat Data [45 Points]

Writeup
() Introduction to study. Statement of objectives.
() Summaries in the context of the practical situation and written
   for an audience of non-statisticians.
() Writing. Presentation, Graphics.

Preliminary Models
() Scatter Plot of All Pairs of Variables
() Evaluation of Preliminary Model

Transformation of Variables
() Scatter Plot of All Pairs of Transformed Variables
() Evaluation of Transforming Variables

Models With Quadratic and Interaction Terms
() Fitting Full Transformed Model with Interactions and Squares
() Evaluation of Quadratic and Interaction Variables

Stepwise Procedures
() Description of Search for Optimal Model
() Explanation of Deletion/Addition of Variables
() Justification of Recommended Model

Recommended Model
() Discussion/elimination of Multicollinear Variables
() Discussion/elimination of Influential Observations
() Discussion of Usefulness
() Discussion of How Well Model Assumptions are Met
() Scatter Plot of All Pairs of Variables of Final Model
() Observed v. Fitted
() Q-Q Plot of Residuals
() Residuals vs.fitted;  
() Residuals vs. Independent Variables
() Residuals vs. Index









2. Simple Regression (Model I) for Sea Ice Data [15 Points]

Writeup
() Introduction to study. Statement of objectives.
() Summaries in the context of the practical situation and written
   for an audience of non-statisticians.
() Writing. Presentation, Graphics.

Diagnostics testing assumptions of data
() Scatter plot. Fitted Line.
() Observed v. Fitted
() Q-Q Plot of Residuals
() Residuals vs.fitted;  vs. x;
() Discussion of Outliers
() Summary of Simple Regression Model
() Prediction of average extent for September 2016.
() What year does your model say there will be no more September Ice?


3. Transformed Regression Models for Dolphin Data [30 Points]

Polynomial model (Model II) diagnostics
() Scatter plot. Fitted Curve
() Observed v. Fitted
() Q-Q Plot of Residuals
() Residuals vs.fitted;  vs. x;  vs. index

First transformed model (Model III) diagnostics
() Scatter plot. Fitted Curve
() Observed v. Fitted
() Q-Q Plot of Residuals
() Residuals vs.fitted;  vs. x;  vs. index

Second transformed model (Model IV) diagnostics
() Scatter plot. Fitted Curve
() Observed v. Fitted
() Q-Q Plot of Residuals
() Residuals vs.fitted;  vs. x;  vs. index

Comparison of Models I - IV
() Justification for Model Recommended
() Discussion of the Quality of the Recommended Model
() Recommended Model's mrediction of average extent for September 2016.
() What year does your Recommended Model say there will be no more September Ice?