Past class data has shown that the regression line relating the final exam score and the midterm exam score for students who take statistics from the College of Information Technology and Engineering from Dr. Kalaw is: final exam = 50 + 0.5 × midterm One interpretation of the slope is a. students only receive half as much credit (.5) for a correct answer on the final exam compared to a correct answer on the midterm exam. b. a student who scored 0 on the midterm would be predicted to score 50 on the final exam. c. a student who scored 10 points higher than another student on the midterm would be predicted to score 5 points higher than the other student on the final exam. d. a student who scored 0 on the final exam would be predicted to score 50 on the midterm exam.
Past class data has shown that the regression line relating the final exam score and the midterm exam score for students who take statistics from the College of Information Technology and Engineering from Dr. Kalaw is: final exam = 50 + 0.5 × midterm
One interpretation of the slope is
a. students only receive half as much credit (.5) for a correct answer on the final exam compared to a correct answer on the midterm exam.
b. a student who scored 0 on the midterm would be predicted to score 50 on the final exam.
c. a student who scored 10 points higher than another student on the midterm would be predicted to score 5 points higher than the other student on the final exam.
d. a student who scored 0 on the final exam would be predicted to score 50 on the midterm exam.
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