d) Draw the least-squares regression line on the scatter diagram of the data. Choose the correct graph below. OA. Exam Scores vs. Absences O C. Final Exam Score 100- 80- 15 601 Final Exam Score 40- 20 0 100- 80 60- 40- 20- a U 4 6 Number of Absences Exam Scores vs. Absences 2 2 8 10 4 6 8 Number of Absences 10 Q О в. OD. Final Exam Score Final Exam Score 100- 80- 60- 40- 20 0- A 100- 80- 60- 40- 20- 0- Exam Scores vs. Absences 2 ढ Number of Absences 8 Exam Scores vs. Absences 6 Number of Absences 8 (e) Would it be reasonable to use the least-squares regression line to predict the final exam score for a student who has missed 15 class periods? Why or why not? O A. Yes, because the absolute value of the correlation coefficient is greater than the critical value for a sample size of n = 10 O B. No, because 15 absences is outside the scope of the model. OC. No, because the absolute value of the correlation coefficient is less than the critical value for a sample size of n = 10. OD. Yes, because the purpose of finding the regression line is to make predictions outside the scope of the model. 10 Q Q Q Q
d) Draw the least-squares regression line on the scatter diagram of the data. Choose the correct graph below. OA. Exam Scores vs. Absences O C. Final Exam Score 100- 80- 15 601 Final Exam Score 40- 20 0 100- 80 60- 40- 20- a U 4 6 Number of Absences Exam Scores vs. Absences 2 2 8 10 4 6 8 Number of Absences 10 Q О в. OD. Final Exam Score Final Exam Score 100- 80- 60- 40- 20 0- A 100- 80- 60- 40- 20- 0- Exam Scores vs. Absences 2 ढ Number of Absences 8 Exam Scores vs. Absences 6 Number of Absences 8 (e) Would it be reasonable to use the least-squares regression line to predict the final exam score for a student who has missed 15 class periods? Why or why not? O A. Yes, because the absolute value of the correlation coefficient is greater than the critical value for a sample size of n = 10 O B. No, because 15 absences is outside the scope of the model. OC. No, because the absolute value of the correlation coefficient is less than the critical value for a sample size of n = 10. OD. Yes, because the purpose of finding the regression line is to make predictions outside the scope of the model. 10 Q Q Q Q
ChapterP: Prerequisites
SectionP.6: The Rectangular Coordinate System And Graphs
Problem 37E: An airplane flies from Naples, Italy, in a straight line to Rome, Italy, which is 120 kilometers...
Related questions
Question
Transcribed Image Text:Absences and Final Exam Scores
No. of
absences, x
0
1
For students WHO IIISS THO Classes is
et the slope or the y-intercept.
= as needed.)
Final
exam score, y 88.9 86.6 83.6 81.5
student who misses five class periods.
2
Print
3
= needed.)
ow average for this number of absences?
4
5
78.2 73.7
Done
6 7 8
63.9 72.7
It is not appropriate to interpret the slope.
9
65.3 65.4
0
O
X
Reference
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
0.997
0.950
0.878
0.811
0.754
0.707
0.666
0.632
0.602
0.576
0.553
0.532
0.514
0.497
0.482
0.468
0.456
0.444
Transcribed Image Text:(d) Draw the least-squares regression line on the scatter diagram of the data. Choose the correct graph below.
OA.
Exam Scores vs. Absences
O C.
Final Exam Score
Final Exam Score
100-
80-
60
40-
20
0
100
80-
60-
40-
20+
0
2
Number of Absences
2
Exam Scores vs. Absences
8
4
Number of Absences
8
10
B.
D.
Final Exam Score
OA. Yes, because the absolute value of the correlation coefficient is greater than the critical value for a sample size of n = 10.
OB. No, because 15 absences is outside the scope of the model.
OC. No, because the absolute value of the correlation coefficient is less than the critical value for a sample size of n = 10.
OD. Yes, because the purpose of finding the regression line is to make predictions outside the scope of the model.
Final Exam Score
100-
80-
60-
40-
20-
0-
100-
80-
60-
40-
20-
0-
Exam Scores vs. Absences
2
4 6
Number of Absences
8
Exam Scores vs. Absences
Number of Absences
(e) Would it be reasonable to use the least-squares regression line to predict the final exam score for a student who has missed 15 class periods? Why or why not?
10
10
5
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