Global Warming - Myth or Reality

2. 10 years Moving Average is showing a trend indicating increase in temperature

4. Regression Test – Years and Average Change in a Year
Regression Statistics
Multiple R 0.862561681
R Square 0.744012653
Adjusted R Square 0.742087936
Standard Error 19.86467865
Observations 135
ANOVA
df SS MS F Significance F
Regression 1 152537.4741 152537.4741 386.5569292 3.54E-41
Residual 133 52482.52592 394.605458
Total 134 205020
Coefficients Standard Error t Stat P-value Lower 95% Upper 95% Lower 95.0% Upper 95.0%
Intercept 1948.113864 1.710617723 1138.836479 3.6562E-267 1944.73 1951.4974 1944.730329 1951.4974
X Variable 1 1.165671752 0.059288374 19.66105107 3.53865E-41 1.048402 1.282941859 1.048401644 1.282941859
Years and Average change in Temperature is positively correlated and P < .05 signifies that there is a relationship between
years and Average change in Temperature. Plots in the next slide explains the relationships
http://data.giss.nasa.gov/gistemp/tabledata_v3/GLB.Ts+dSST.txt