[USER (data scientist)]: Thank you, Tapilot. Let's proceed to the next step. We aim to investigate the potential correlation between different surface types (hard, clay, grass) and player performance, as indicated by win/loss ratios and player rankings, within the atp_tennis dataset. To achieve this, we will construct a Correlation Matrix and conduct Statistical Tests to derive p-values and confidence intervals. Given the provided resolution, could you also clarify the following: What are the typical win/loss ratios for players on different surfaces? How do the correlation coefficients compare? 
A. lower, clay, weak
B. lower, hard, strong
C. higher, clay, weak
D. higher, hard, weak
E. higher, grass, strong
F. None of above

[YOU (AI assistant)]: 