diff --git a/correlation_plot.png b/correlation_plot.png new file mode 100644 index 0000000..b4b0d9c Binary files /dev/null and b/correlation_plot.png differ diff --git a/solution_.md b/solution_.md new file mode 100644 index 0000000..ed0130b --- /dev/null +++ b/solution_.md @@ -0,0 +1,19 @@ +StudentID: 16336631 +The title of the following papers pivotal to our knowledge: + - MCC Van Dyke et al., 2019 + "The Rise of Coccidioides: Forces Against the Dust Devil Unleashed" + - JT Harvey, Applied Ergonomics, 2002 + "Effect of a nurse back injury prevention intervention on the rate of injury compensation claims" + - DW Ziegler et al., 2005 + "Correlation of continuous cardiac output measured by a pulmonary artery catheter versus impedance cardiography in ventilated patients" + +Plot: + +![Alt text for the image](correlation_plot.png) + +Description of plot: +* **Plot Type:** A **dual-axis line plot** was used to show the trends of the two variables over the years 2006–2018. +* **WO Trend:** The **WO [x1000]** variable (red line) shows a **strong, consistent, and nearly linear increase** throughout the period. +* **Beer Consumption Trend:** **NL Beer consumption** (blue line) also shows an **overall increase**, but the growth is much **slower** and less linear than the WO trend. +* **Correlation:** The data exhibits a **strong positive correlation**, quantified by the Pearson coefficient: **$\rho \approx 0.818$**. +* **Key Takeaway:** The strong correlation means the two quantities tend to rise together. However, it is crucial to remember that this **does not prove causation**