The CIT University IE Department wanted to know the relationship between the exam scores in percentage points of the students in EDA (y) and their percentage of allendance (x). The Excel tables below are oblained when the exam scores (measured in percentage points is regressed on percentage allendance for twenty-two (22) EDA students. Regression Stanstion Multiple R 0.1425 R Square 0.0203 Standard Error 20.2568 Observations 22 Coofficiants Standard Error 7 Stat Intercept 39.3906 37 2435 1.0576 0.3028 Attendance 0.3406 0.5285 0.6444 0.5266 Which of the following statements is true? Select one O 1426% of the total variability in their exam score can be explained by percentage allendance. O 203% of the total variability in percentage attendance can be explained by their exam O 1426%% of the total variability in percentage allendance can be explained by their exam Score. O 2 03% of the total variability in their exam score can be explained by percentage allendance. Which of the following statements is true? Select one O II alteridance increases by 1%, the estimated mean exam score will increase by 0.3406 percentage points. O II the exam score increases by 30.39%, the estimated mean attendance will go up by 13. O II alteridance increases by 0.3406%, the estimated mean exam score will increase by 1 percentage point. O II attendance increases by 1%, the estimated mean exam score will increase by 29.39 percentage points