Midterm Project Feedback Guide

Research Questions

Excellent	Question is posed in terms of the multiple linear regression model: one numerical & one categorical explanatory variables - if the relationship (between x and y) differs based on the categorical variable two numerical explanatory variables – if there is a relationship between each explanatory variable and the response in the same equation (not two separate questions)
Satisfactory	Research questions are correctly framed in terms of relationships, but don’t reflect the multiple regression being explored.
Progressing	Research questions are not posed as questions!

Variables of Interest

Present	Outlines all three variables of interest: How was each variable measured? – this needs to be connected to the data collection methods What units was each variable measured in?
Partially Present	Missing details about units OR how the variables were measured
Missing	Missing details about units AND how the variables were measured

Data Visualizations

Present	Creates all required visualizations: Two visualizations for one numerical and one categorical explanatory variables – parallel slopes & different slopes Three visualizations for two numerical explanatory variables – one with all three variables included (color gradient), one for each SLR
Partially Present	Missing one of the required visualizations
Missing	All visualizations are missing

Visualization Descriptions

Present	Describes each of the visualizations
Partially Present	At least one visualization is not described
Missing	Does not describe visualizations

Proposed Statistical Model

Present	States what statistical model was selected
Partially Present	Describes what visualization was chosen, not what statistical model was chosen
Missing	Does not state what model or visualization was chosen

Writes out Regression Equation(s)

Present	Regression equation is included, and, if needed, indicator variables or multiple equations are used to separate groups
Partially Present	Only one equation is provided when there should be multiple equations
Missing	No equation

Interprets Model Coefficients

Present	Interpretations for every intercept and slope are provided
Partially Present	Some intercept and / or slope interpretations are missing
Missing	None of the coefficients are interpreted

Study Limitations - Graded by Dr. Theobold

Scope of Inference

Excellent	Clearly states who the analysis can be inferred to, connecting to sampling methodology used.
Satisfactory	Statement regarding who the analysis can be inferred to is mostly clear, with connections to the sampling methodology used.
Progressing	Statement regarding who the analysis can be inferred to is mostly unclear, with few if any connections to the sampling methodology used.

Cause & Effect

Excellent	Clearly states what relationships can be inferred between the variables, connecting to the design of the study.
Satisfactory	Statement regarding what relationships can be inferred between the variables is mostly clear, with connections to the design of the study.
Progressing	Statement regarding what relationships can be inferred between the variables is mostly unclear, with few if any connections to the design of the study.

Conclusion – Graded by Dr. Theobold

Present	Connects visualization and regression model to research question posed in the Introduction.
Partially Present	Discusses research question posed in the Introduction, but is missing connections to the visualization OR the regression model.
Missing	Does not discuss the research question posed in the Introduction.