1. Regression analysis was applied between test scores (Y) and hours studied by the students (X), and the following estimated regression equation was obtained. In(Y) = 50 + 0.2 X Based on the above estimated regression equation: if the amount of hours studied is increased by 1, then the test score is expected to increase by 120 points O if the amount of hours studied is increased by 1, then the test score is expected to increase by 20% if the amount of hours studied is increased by 1, then the test score is expected to decrease by 20 points if the amount of hours studied is increased by 1%, then the test score is expected to increase by 20 points