A study was done to determine the effect of a medication on the blood pressure of twenty-two normotensive men. Nine of the study subjects are black and thirteen are white. Each subject's blood pressure was measured at a dose of 0 mg and at a dose of 5mg later. The race included white vs. black participants. The output is provided below:

1. What statistical analysis was conducted and why?
2. What other statistical methods might be used?

Number of obs = 43 R-squared = 0. 9161 Root MSE = . 64235 Adj R-squared = 0 . 8145 Source | Partial SS df MS F Prob > F Model | 85 . 5776555 23 3. 72076763 9. 02 0 . 0000 race 5 . 07251403 1 5. 07251403 1. 32 0 . 2648 id | race 77 . 0659916 20 3. 85329958 dose | 3. 28830185 3. 28830185 7.97 0 . 0109 dose#race . 292901785 . 292901785 0 . 71 0. 4100 Residual 7. 8396453 19 . 41261291 Total | 93. 4173008 42 2. 22422145 Between-subjects error term: id | race Levels : 22 (20 df) Lowest b. s.e. variable: id Covariance pooled over: race (for repeated variable) Repeated variable: dose Huynh-Feldt epsilon = 1 . 0526 *Huynh-Feldt epsilon reset to 1.0000 Greenhouse-Geisser epsilon = 1. 0000 Box's conservative epsilon = 1. 0000 - Prob > F -- Source | df F Regular H-F G-G Box dose I 7.97 0 . 0109 0 . 0109 0 . 0109 0 . 0109 dose#race 0. 71 0 . 4100 0 . 4100 0 . 4100 0 . 4100 Residual 19