O
The accompanying data represent the number of days absent, x, and the final exam score, y, for a sample of college students in a general education course at a large state university. Complete parts (a) through (e) below.
Click the icon to view the absence count and final exam score data.
Click the icon to view a table of critical values for the correlation coefficient.
(a) ring the least-squares regression in treauing number of absences as the explanatory variable and the man exam score as the response variable.
ŷ=x+
(Round to three decimal places as needed.)
(b) Interpret the slope and the y-intercept, if appropriate. Choose the correct answer below and fill in any answer boxes in your choice.
(Round to three decimal places as needed.)
A. The average final exam score of students who miss no classes is
B. For every additional absence, a student's final exam score drops
C. For every additional absence, a student's final exam score drops
OD. It is not appropriate to interpret the slope or the y-intercept.
(c) Predict the final exam score for a student who misses five class periods.
(Round to two decimal places as needed.)
Compute the residual.
(Round to two decimal places as needed.)
Is the final exam score above or below average for this number of absences?
y =
Above
Below
(d) Draw the least-squares regression line on the scatter diagram of the data. Choose the correct graph below.
O A.
Exam Scores vs. Absences
Statcrunch
im Score
It is not appropriate to interpret the slope.
points, on average. It is not appropriate to interpret the y-intercept.
points, on average. The average final exam score of students who miss no classes is
100-
80-
E 60-
B.
im Score
100-
80-
60
Absences and Final Exam Scores
No. of
absences, x
Final
exam score, y 89.1
Exam Scores vs. Absences
0 1 2 3 4 5 6 7 8
85.9
83.4
81.8 77.6 73.1
Done
63.5 72.7 66.2
Next
9
67.
Fig: 1