of absences, x mal grade, y 012 3 4 5 678 9 0 882 054 824 799 76.9 725 63.1 67.4 645 616 Find the least-squares regression line treating the number of absences, x, as the explanatory variable and the final grade, y. as the response v -3124x (24s) lound to three decimal places as needed) interpret the slope and y-intercept if appropriate terpret the slope Select the correct choice belolv and. if necessary. fl in the answer box to complete your choice
of absences, x mal grade, y 012 3 4 5 678 9 0 882 054 824 799 76.9 725 63.1 67.4 645 616 Find the least-squares regression line treating the number of absences, x, as the explanatory variable and the final grade, y. as the response v -3124x (24s) lound to three decimal places as needed) interpret the slope and y-intercept if appropriate terpret the slope Select the correct choice belolv and. if necessary. fl in the answer box to complete your choice
MATLAB: An Introduction with Applications
6th Edition
ISBN:9781119256830
Author:Amos Gilat
Publisher:Amos Gilat
Chapter1: Starting With Matlab
Section: Chapter Questions
Problem 1P
Related questions
Question
![Can some one explan how to get part B, C, and E right?
The data below represent the number of days absent, x, and the final grade, y. for a sample of college students at a large university. Complete parts (a) through (e)
below
No. of absences, x 0 1 2 3 4 5 6 1 89 0
Final grade, y
882 85 4 824 79.9 76.9 725 63.1 67.4 64.5 61.6
(a) Find the least-squares regression line treating the number of absences, x, as the explanatory variable and the final grade, y, as the response variable
X.
3124 x (88249)
(Round to three decimal places as needed)
(b) Interpret the slope and y-intercept if appropriate
Interpret the slope Select the corect choice belolw and. if necessary. fil in the answer box to complete your choice
(Round to three decimal places as needed)
L For zero days absent the final score is predicted to be
For a final score of zero. the number of days absent is predicted to be
days
C le d d ta
The data below represent the number of days absent, x, and the final grade, y. for a sample of college students at a large university Complete parts (a) thre
below
No. of absences, x 0 1 2 3 4 5 6 7 8 9 0
Final grade, y
88.2 85.4 82.4 79.9 76.9 72.5 63.1 67.4 64.5 61.6
(b) Interpret the slope and y-intercept, if appropriate.
Interpret the slope. Select the correct choice below and, if necessary, fill in the answer box to complete your choice
(Round to three decimal places as needed)
A For zero days absent, the final score is predicted to be
OB For a final score of zero, the number of days absent is predicted to be days
OC For every unit change in the final grade, the number of days absent falls by days, on average
0. For every day absent, the final grade falls by 3.124, on average
OL
t is not appropriate to interpret the slope
Interpret the y-intercept. Select the correct choice below and, if necessary, fill in the answer box to complete your choice.
(Round to three decimal places as needed.)
OA For a final score of zero, the number of days absent is predicted to be days
B For zero days absent, the final score is predicted to be 88 249
XC For every day absent, the final grade falls by. on average
OD For every unit change in the final grade, the number of days absent falls by days, on average
OL Ris not appropriate to interpret the y-intercept
(c) Predict the final grade for a student who misses five class periods and compute the residual Is the observed final grade above or below average for this
number of absences?
The predicted final grade is 726 This observation has a residual of -01, which indicates that the final grade is below average.
(Round to one decimal place as needed)
(d) Draw the least-squares regression line on the'scatter diagram of the data. Choose the correct graph below
(0) Would it be reasonable to use the least-squares regression line to predict the final grade for a student who has missed 15 class periods? Why or why not?
A. Yes-15 missed class perlods is possible and within the scope of the model
B. No-15 missed class periods is outside the scope of the model.
OC No-15 missed class periods is not possible.
OD No-15 missed class perlods is not possible and outside the scope of the model
OE More information regarding the student is necessary to be able to make a decision.](/v2/_next/image?url=https%3A%2F%2Fcontent.bartleby.com%2Fqna-images%2Fquestion%2F671215c7-f56c-4852-9bc9-618ecb780fc3%2F942912cb-9e65-4a04-aa0b-645d2b17dac2%2Fr89zlee_processed.jpeg&w=3840&q=75)
Transcribed Image Text:Can some one explan how to get part B, C, and E right?
The data below represent the number of days absent, x, and the final grade, y. for a sample of college students at a large university. Complete parts (a) through (e)
below
No. of absences, x 0 1 2 3 4 5 6 1 89 0
Final grade, y
882 85 4 824 79.9 76.9 725 63.1 67.4 64.5 61.6
(a) Find the least-squares regression line treating the number of absences, x, as the explanatory variable and the final grade, y, as the response variable
X.
3124 x (88249)
(Round to three decimal places as needed)
(b) Interpret the slope and y-intercept if appropriate
Interpret the slope Select the corect choice belolw and. if necessary. fil in the answer box to complete your choice
(Round to three decimal places as needed)
L For zero days absent the final score is predicted to be
For a final score of zero. the number of days absent is predicted to be
days
C le d d ta
The data below represent the number of days absent, x, and the final grade, y. for a sample of college students at a large university Complete parts (a) thre
below
No. of absences, x 0 1 2 3 4 5 6 7 8 9 0
Final grade, y
88.2 85.4 82.4 79.9 76.9 72.5 63.1 67.4 64.5 61.6
(b) Interpret the slope and y-intercept, if appropriate.
Interpret the slope. Select the correct choice below and, if necessary, fill in the answer box to complete your choice
(Round to three decimal places as needed)
A For zero days absent, the final score is predicted to be
OB For a final score of zero, the number of days absent is predicted to be days
OC For every unit change in the final grade, the number of days absent falls by days, on average
0. For every day absent, the final grade falls by 3.124, on average
OL
t is not appropriate to interpret the slope
Interpret the y-intercept. Select the correct choice below and, if necessary, fill in the answer box to complete your choice.
(Round to three decimal places as needed.)
OA For a final score of zero, the number of days absent is predicted to be days
B For zero days absent, the final score is predicted to be 88 249
XC For every day absent, the final grade falls by. on average
OD For every unit change in the final grade, the number of days absent falls by days, on average
OL Ris not appropriate to interpret the y-intercept
(c) Predict the final grade for a student who misses five class periods and compute the residual Is the observed final grade above or below average for this
number of absences?
The predicted final grade is 726 This observation has a residual of -01, which indicates that the final grade is below average.
(Round to one decimal place as needed)
(d) Draw the least-squares regression line on the'scatter diagram of the data. Choose the correct graph below
(0) Would it be reasonable to use the least-squares regression line to predict the final grade for a student who has missed 15 class periods? Why or why not?
A. Yes-15 missed class perlods is possible and within the scope of the model
B. No-15 missed class periods is outside the scope of the model.
OC No-15 missed class periods is not possible.
OD No-15 missed class perlods is not possible and outside the scope of the model
OE More information regarding the student is necessary to be able to make a decision.
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