1. Statistical Analysis: Influence of Sea Surface Temperature on Precipitation and Temperature in San Francisco By Gavin Gratson

2. West-Coast Drought Glacial Change:

3. Cumulative Distribution Function El-Nino SST Max: 2 Mean: 1.2 Still trending up

4. El Nino vs All SST Data

5. Histogram El-Nino SST

6. Average El-Nino SST vs average for most recent El-Nino P=34.458 34.458%>5% Cannot reject H 0, not significantly higher SST for most recent El-Nino inconclusive because most recent isn’t finished yet, average should increase Max SST average vs Max SST for most recent El-Nino P=13.35% 13.35%>5% Cannot reject H 0, not significantly higher SST for most recent El-Nino inconclusive because most recent isn’t finished yet, max SST could increase t-test

7. Autocorrelation El-Nino/non El-Nino P 11 =89.33% r 1 =.8591

8. Simple Linear Regression: SST vs Temp R 2 very low minimal correlation

9. Simple Linear Regression: SST vs Precipitation R 2 very low minimal correlation

10. Multiple Linear Regression Average Temperature is the best predictor SST values actually the worst Predictor:R 2 : SST0.065973 Precipitation0.338554 Temperature0.363938

11. Principal Component Analysis: All Three Confirms findings from Linear regressions