3. When Y is regressed on X, 1 < 0, sX 0, sY 0, and = for every observation. In this example, the sum of the squares of the deviations of the predicted Y-values from their mean would definitely be less than the sum of the squares of the deviations of the actual Y-values from their mean. A) true B) false

4. When Y is regressed on X, the sample slope is positive, sX 0, sY 0, and 2 2. In this example, the sum of the squares of the deviations of the predicted Y-values from their mean would definitely be less than the sum of the squares of the deviations of the actual Y-values from their mean. A) true B) false