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43.00 15.00 23.00 50.00 40.00 42.00 35.00 31.00 48.00 42.00 37.00 40.00 30.00 25.00 33.00 30.00 25.00 12.00 14.00 11.00 13.00 15.00 19.00 13.00 13.00 18.00 10.00 20.00 11.00 12.00 14.00 28.00 20.00 20.00 15.00 10.00 30.00 16.00 24.00 20.00 16.00 10.00 18.00 13.00 15.00 a. Find the regression equation. b. Predict Marian final grade.

43.00 15.00 23.00 50.00 40.00 42.00 35.00 31.00 48.00 42.00 37.00 40.00 30.00 25.00 33.00 30.00 25.00 12.00 14.00 11.00 13.00 15.00 19.00 13.00 13.00 18.00 10.00 20.00 11.00 12.00 14.00 28.00 20.00 20.00 15.00 10.00 30.00 16.00 24.00 20.00 16.00 10.00 18.00 13.00 15.00 a. Find the regression equation. b. Predict Marian final grade.

MATLAB: An Introduction with Applications
MATLAB: An Introduction with Applications
6th Edition
ISBN:9781119256830
Author:Amos Gilat
Publisher:Amos Gilat
Chapter1: Starting With Matlab
Section: Chapter Questions
Problem 1P
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Marian Rivera, a student ranking near the bottom of the Accounting 101 Class, decided that a certain amount of studying could actually improve final grades. However, too much studying would not be warranted because Marian's ambition (if you can call it one) was to ultimately graduate with the absolute minimum level of work. Marian was registered in a Accounting 101 course that had only 3 weeks to go before the final exam and for which the final grade was detemined in the following way: 2. Total Mark = 20% (assignment) + 30% (Midterm Test) + 50% (Final Exam) To determine how much work to do in the remaining 3 weeks, Marian needed to be able to predict the final exam mark on the basis of the assignment mark (worth 20 points) and the midterm mark (worth 30 points). Marian marks on these were 12/20 and 14/30, respectively. Accordingly, Marian undertook the following analysis. The final exam mark, assignment mark, and midterm test mark for 30 students who took the ACCOUNTING 101 course last year were collected. FINAL 23.00 49.00 34.00 43.00 ASSIGNMENT MIDTERM 11.00 28.00 19.00 26.00 15.00 15.00 13.00 20.00 20.00 18.00 20.00 10.00 43.00 29.00 31.00 22.00 13.00 10.00 30.00 11.00 36.00 13.00 16.00 33.00 39.00 16.00 15.00 19.00 20.00 10.00 16.00 16.00 33.00 24.00 12.00 36.00 12.00 22.00
Transcribed Image Text:Marian Rivera, a student ranking near the bottom of the Accounting 101 Class, decided that a certain amount of studying could actually improve final grades. However, too much studying would not be warranted because Marian's ambition (if you can call it one) was to ultimately graduate with the absolute minimum level of work. Marian was registered in a Accounting 101 course that had only 3 weeks to go before the final exam and for which the final grade was detemined in the following way: 2. Total Mark = 20% (assignment) + 30% (Midterm Test) + 50% (Final Exam) To determine how much work to do in the remaining 3 weeks, Marian needed to be able to predict the final exam mark on the basis of the assignment mark (worth 20 points) and the midterm mark (worth 30 points). Marian marks on these were 12/20 and 14/30, respectively. Accordingly, Marian undertook the following analysis. The final exam mark, assignment mark, and midterm test mark for 30 students who took the ACCOUNTING 101 course last year were collected. FINAL 23.00 49.00 34.00 43.00 ASSIGNMENT MIDTERM 11.00 28.00 19.00 26.00 15.00 15.00 13.00 20.00 20.00 18.00 20.00 10.00 43.00 29.00 31.00 22.00 13.00 10.00 30.00 11.00 36.00 13.00 16.00 33.00 39.00 16.00 15.00 19.00 20.00 10.00 16.00 16.00 33.00 24.00 12.00 36.00 12.00 22.00
29.00 43.00 50.00 40.00 42.00 10.00 15.00 12.00 13.00 23.00 28.00 20.00 20.00 15.00 10.00 30.00 16.00 24.00 20.00 14.00 11.00 35.00 31.00 48.00 42.00 37.00 40.00 30.00 13.00 15.00 19.00 13.00 13.00 18.00 10.00 16.00 10.00 25.00 33.00 30.00 25.00 20.00 11.00 12.00 14.00 18.00 13.00 15.00 a. Find the regression equation. b. Predict Marian final grade.
Transcribed Image Text:29.00 43.00 50.00 40.00 42.00 10.00 15.00 12.00 13.00 23.00 28.00 20.00 20.00 15.00 10.00 30.00 16.00 24.00 20.00 14.00 11.00 35.00 31.00 48.00 42.00 37.00 40.00 30.00 13.00 15.00 19.00 13.00 13.00 18.00 10.00 16.00 10.00 25.00 33.00 30.00 25.00 20.00 11.00 12.00 14.00 18.00 13.00 15.00 a. Find the regression equation. b. Predict Marian final grade.
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