The correlation between the student´s total score prior to the final examination and the final examination score is r = 0,5. Pre TEST scores have mean 280 and standard deviation 40 Final test score has mean 75 and standard deviation a) what is the slope of the least quarter regression line? What is the intercept? Interpret the slope in the contexts of the problem. b) Use the regression line to predict final test score from a student who got 300 poins in the pre test score
Added by Patrick P.
Step 1
We are given that r = 0.5, SDy = standard deviation of final test score = unknown, and SDx = 40 (from the given information). Show more…
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In a professor's statistics course the correlation between the students' scores prior to the final examination and their final examination scores is 0.55. The pre-exam scores for the students in the course have mean 297 and standard deviation 60. The final exams have mean 426 and standard deviation 126. Let x be the pre-exam score, and y be the final exam score. Which of the following is the correct equation for the least squares regression line?
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The data and the graph below show the scores students in an advanced statistics course received for homework (Hw) completed and for the subsequent midterm exam. Homework scores are based on assignments that preceded the exam. The maximum homework score a student could obtain was 500 and the maximum midterm score was 350. Homework scores vs exam scores Hw score: 387, 275, 280, 459, 395, 314, 428, 366, 421, 234 Exam score: 190, 200, 108, 323, 315, 256, 341, 236, 285, 125 The slope for the regression line is: -0.84 0.91 0.70 0.84
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