Project 3: Fall 2025

Author

your name here

In collaboration with researchers from Hawkins National Laboratory, you’ve been given access to anonymized data from a study investigating the impact of exposure to the Upside Down on cognitive performance.

Over several months, scientists monitored participants who had varying levels of exposure to supernatural environments, psychic strain, and chronic sleep debt. The goal of the study was to understand which factors most strongly predict declines in cognitive functioning, an increasingly common concern in the Hawkins community.

Each record represents one participant. Variables include:

Researchers suspect that higher exposure, strain, and sleep debt all contribute to cognitive decline, but the relative importance and combined effects of these factors are not yet clear.

1. Find the appropriate summary statistics for this dataset.

2. Let’s explore pairwise relationships. First, create the following scatterplots:

2a. Cognitive Score (y-axis) and Upside Down Exposure (x-axis)

2b. Cognitive Score (y-axis) and Psychic Strain (x-axis)

2c. Cognitive Score (y-axis) and Sleep Debt (x-axis)

3. Let’s explore pairwise relationships. Now, find the following Spearman’s correlations:

3a. Cognitive Score and Upside Down Exposure

3b. Cognitive Score and Psychic Strain

3c. Cognitive Score and Sleep Debt

4. Using the outputs in questions 2 and 3, comment on the following pairwise relationships/correlations:

4a. Cognitive Score and Upside Down Exposure

  1. Direction:

  2. Strength:

  3. Significance:

4b. Cognitive Score and Psychic Strain

  1. Direction:

  2. Strength:

  3. Significance:

4c. Cognitive Score and Sleep Debt

  1. Direction:

  2. Strength:

  3. Significance:

5. Construct a regression model that models cognitive score (CognitiveScore) as a function of upside down exposure (UpsideDownExposure), psychic strain (PsychicStrain), and sleep debt (SleepDebt). Remember to state your resulting regression model.

\hat{y} = \hat{\beta}_0 + \hat{\beta}_1 x_1 +\ ... 6. Is this a significant regression line? Test at the \alpha=0.05 level. Remember to typeset your results.

7. Provide interpretations, including significance of predictor, for all predictors.

8. Construct a data visualization for the regression model above that includes the following: