## Log-Linear

Hi all,
I have a sample data of Mortality vs GDP.
I need to make a Log-linear regression analysis.

I transformed the data to log scale and then I apply linear regression.
So,I take a result as follows :

SUMMARY OUTPUT

Regression Statistics
Multiple R 0,911291825
R Square 0,83045279
Standard Error 0,197021489
Observations 200

ANOVA
________________________________________
df SS MS F Significance F
________________________________________
Regression 1 27,94916441 27,94916441 720,0151535 1,62239E-58
Residual 147 5,706167639 0,038817467
Total 148 33,65533205

Coefficients Standard Error t Stat P-value Lower 95% Upper 95% Lower 95,0% Upper 95,0%
_____________________________________________________________________________________________________________________
Intercept 3,450003415 0,075775344 45,52936666 1,49348E-88 3,300253657 3,599753174 3,300253657 3,599753174
Log(GDP) -0,606784683 0,022613292 -26,8330981 1,62239E-58 -0,651473824 -0,562095542 -0,651473824 -0,562095542

The question I have to answer is if there is something strange in the results..
I can't find something.

And secondly, if GDP is increased by 10% how can I find how does it affect to Mortality ?

Could you help me please ?