13 Jun CHATTANOOGA METROPOLITAN AIRPORT
You have been asked by the Chattanooga Metropolitan Airport to help solve a problem. Many fliers out of the Chattanooga airport have complained that they are arriving late to their destinations. They have provided all of the flight data from 2015 and have asked you to create a linear regression model. The main purpose of this model is to describe the factors influencing the late arrivals, not prediction. While the regression model should serve as the basis for your analysis, please feel free to include any other statistics and graphics that help CHA understand when and why flights are arriving late.
This project is the culmination of all we have learned this semester. Feel free to pull in anything we’ve worked on to help solve this business need.
Submission status No attempt
Grading status Not graded
Due date Tuesday, April 24, 2018, 4:00 PM
Time remaining 5 hours 18 mins
Grading criteria
This project deliverable should demonstrate a mastery of general linear regression. You should be able to show how you created your model and then validated it. Be able to communicate any uncertainty inherent in the simple linear regression model. Further, this project ties together all we have learned this semester. So concepts such as EDA (Exploratory Data Analysis), hypothesis testing and interpretation of p-values is expected.
The MS Excel appendix is easy to understand.
The Excel file is exceedingly difficult to understand.
0points
The Excel file has all of the necessary components, but are not laid out clearly and there are no comments or text.
1points
The Excel file is fairly well organized and has some labels and comments.
2points
The Excel file is incredibly easy to consume, well organized, and clearly labeled and commented.
3points
The excel demonstrates variable selection to select the ideal model.
No variable selection procedure is shown.
0points
The variable selection procedure is implemented incorrectly.
2points
There is a minor issue with the variable selection procedure either statistically or in its interpretation.
4points
The correct variables for the model were chosen as shown through a correct implementation of the forward selection procedure.
6points
The excel file demonstrates exploratory data analysis for all input variables.
No EDA was done.
0points
The EDA insufficiently covered the variables.
2points
The EDA partially covers all variables or has only some of the expected descriptive statistics and graphs.
4points
The data is sufficiently explored through descriptive statistics and graphs.
6points
The Excel file contains a scatterplot of the residuals as demonstrated in Figure 14.15 of the text.
The graph was not present.
0points
The graph is incomplete or incorrect.
1points
The graph is complete and correct.
2points
The graph is complete, correct, and beautiful.
3points
The excel file calculates the Durbin-Watson test statistic and confirms no autocorrelation.
The test statistic was not calculated.
0points
There is a major issue with either the test statistic’s calculation or its impact on model development.
2points
There is a minor issue with either the test statistic’s calculation or its impact on model development.
4points
The test statistic was calculated correctly and prove that there is no autocorrelation.
6points
The report length was appropriate.
The report was significantly too short to address the business.
0points
The report was too short to address the business. Many stakeholder concerns were left out.
1points
The report was too long (included a lot of fluff) or was too short in that a few stakeholder concerns were left out.
2points
The report was of appropriate length.
3points
The report language was appropriate for the target audience.
The report is significantly too simplistic or significantly over-technical for the target audience. The report is very poorly written.
0points
The report’s language is unclear and not written well. The content may be slightly too technical or simplistic.
1points
The report matches the target audience well on a technical level.
2points
The report matches the target audience well on a technical level and is very well written.
3points
The report includes graphs that help tell a story.
The report includes no graphs.
0points
The report includes graph(s) but they are not used well in the text of the report.
2points
The report includes graph(s) that are used in the report.
4points
The report includes graph(s) that help tell a compelling story within the report.
6points
The report discusses how the model was created.
The model is not discussed in the report.
0points
The model is incorrectly discussed and interpreted in the report.
2points
There is a minor interpretation issue of the model in the report.
4points
The model is correctly discussed in the report.
6points
The report discusses the error term of the model and validates the assumption of the error term (pg 646).
The report does not address any error or risk of the model.
0points
The report addresses the risk and error within the model, but interprets it incorrectly.
2points
There is a minor error in the interpretation of the error of the model.
4points
The report correctly discusses the model’s error.
6points
The report makes a data-driven recommendation.
The report does not include any recommendation.
0points
The report contains a recommendation, but it is not backed up with data.
2points
The report contains a recommendation based on data.
4points
The report contains a recommendation based on data and is well justified.
6points
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