The extraordinary point is Iceland. If we set it aside, the model looks like this Response variable is: Energy Use 2010 R squared = 88.6%

s = 13.10 with 32 - 2 = 30 degrees of freedom Variable Coefficient SE(Coeff) t-Ratio P-Value Intercept 5.74436 9.061 0.634 0.5309 Energy 2006 0.921540 0.0605 15.2 60.0001

c) How has setting aside Iceland changed the regression model? How is it likely to affect the intervals discussed in

a) and b)?