A. The patients who have a temperature of 103 degrees upon being admitted to the hospital have temperatures 2 full SD's above the average admission temperature. Use of the regression estimate shows that, 24 hours later, these patients have an average temperature of 99.6 degrees. But the SD of all 400 of the temperatures taken 24 hours after admission is 0.5, and 99 + (2 x 0.5) = 100, so 99.6 degrees is less (by 0.4 degrees) than 2 full SD's above the average of all 400 of the temperatures taken 24 hours after admission. J

B. The average of the 400 temperatures taken 24 hours after admission to the hospital is 3 degrees lower than the average of the 400 temperatures taken upon admission to the hospital. J

Then

a. Statements A and B are both explained by the regression effect.

b. Neither statement A nor statement B is explained by the regression effect.

c. Statement A is explained by the regression effect, but statement B is not.

d. Statement B is explained by the regression effect, but statement A is not.