Linear Models
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Lab 2 Rubric

Total: 24 points
Each row is scored from 0–3 points based on the criteria.

Lab activity 3 points 2 points 1 point 0 points
Restate your research question Clearly restates the research question using the provided format, identifying the specific independent variable. Restates the question but deviates from the format or omits the specific variable name. Question is vague, incomplete, or does not match the Lab 1 selection. Task not attempted.
Load in your saved data from Lab 1 Successfully loads the cleaned .rda file from Lab 1 using the here package. Loads the data correctly but does not use the here package for reproducible paths. Attempts to load data but encounters errors or reverts to the raw .sav file. Data not loaded.
Peek at your outcome Provides a clean histogram of IAT scores with a thoughtful observation about its distribution/shape. Provides a histogram but lacks interpretation or the plot labels/formatting are poor. Histogram is incorrect, poorly scaled, or visualization is missing. Task not attempted.
Univariate exploratory data analysis Visualizes all variables (8 variables + 8 race/ethnicity indicators) using appropriate plots/tables to show their distributions. Visualizes most variables but misses one or two, or uses inappropriate plot types for the data. Visualizations are missing for many variables or plots are unreadable. No univariate EDA provided.
Bivariate exploratory data analysis Provides a clear plot of IAT score vs. main predictor; correctly uses fct_relevel or fct_reorder for ordered factors. Provides a bivariate plot but fails to reorder factor levels, making the relationship hard to discern. Plot is incorrect for the variable types (e.g., scatterplot for two categorical variables). No bivariate EDA provided.
Quality Control Uses filter() correctly to identify and “glimpse” potentially untruthful observations without deleting them. Identifies flagged observations but the filtering logic is partially incomplete or flawed. Mentions quality control but provides no code output or glimpse of the flagged data. Did not perform the quality control check.
Fit a simple linear regression & Interpret results Fits the SLR, prints a clean table, correctly interprets the slope in context, and comments on the initial trend. Fits the model and prints the table, but the interpretation contains minor technical or contextual errors. Fits the model but fails to print a table or provide an interpretation of the results. Modeling task not attempted.