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- MATH302 I006 Summer 2026 – APEI Week 7 Test
with 100% correct answers already graded A+
Your work has been saved and submitted
Written Feb 24, 2026 12:03 PM -Feb 24, 2026 1:25 PM • Attempt 1 of 2
Attempt Score - 100 %
Overall Grade (Highest Attempt) - 100 %
Question 1 pts.
The least squares regression line for a data set is yˆ=5+0.3x and the standard
deviation of the residuals is 0.4.
Does a case with the values x = 3.3, y = 7.2 qualify as an outlier?
Cannot be determined with the given information
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No
Ye
s
Hide question 1 feedback
Plug in 3.3 for
x. y = 5 +
.3*3.3 y =
5.99
Residual is y-given - y-predicted.
7.2 - 5.99 = -> 1.21 this is the residual value. To see if
it is an outlier take 2 and multiply it by .4 2*.4 = .8.
1.21 is more than .8, Yes it is an outlier.
Question 2 pts.
The least squares regression line for a data set is yˆ=5+0.3x and the standard
deviation of the residuals is 0.52.
Does a case with the values x = -1.59, y = 5.78 qualify as an outlier?
Cannot be determined with the given
information No Yes
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Hide question 2 feedback
Plug in -1.59 for
x. y = 5 + .3*1.59
y = 4.523
Residual is y-given - y-predicted.
5.78 - 4.523 = 1.257 -> this is the residual value.
To see if it is an outlier take 2 and multiply it by
.52 2*.52 = 1.04
1.257 is greater than 1.04, Yes it is an outlier.
Question 3 pts.
The following data represent the weight of a child riding a bike and the rolling
distance achieved after going down a hill without pedaling.
Weight Rolling Distance
(lbs.) (m.)
59 26
83 43
97 49
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FOR MORE EXAMS
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EMAIL:
- MATH302 I006 Summer 2026 – APEI Week 7 Test
with 100% correct answers already graded A+
Your work has been saved and submitted
Written Feb 24, 2026 12:03 PM -Feb 24, 2026 1:25 PM • Attempt 1 of 2
Attempt Score - 100 %
Overall Grade (Highest Attempt) - 100 %
Question 1 pts.
The least squares regression line for a data set is yˆ=5+0.3x and the standard
deviation of the residuals is 0.4.
Does a case with the values x = 3.3, y = 7.2 qualify as an outlier?
Cannot be determined with the given information
FOR MORE EXAMS
EMAIL:
,FOR MORE EXAMS
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APEI
No
Ye
s
Hide question 1 feedback
Plug in 3.3 for
x. y = 5 +
.3*3.3 y =
5.99
Residual is y-given - y-predicted.
7.2 - 5.99 = -> 1.21 this is the residual value. To see if
it is an outlier take 2 and multiply it by .4 2*.4 = .8.
1.21 is more than .8, Yes it is an outlier.
Question 2 pts.
The least squares regression line for a data set is yˆ=5+0.3x and the standard
deviation of the residuals is 0.52.
Does a case with the values x = -1.59, y = 5.78 qualify as an outlier?
Cannot be determined with the given
information No Yes
FOR MORE EXAMS
EMAIL:
,FOR MORE EXAMS
EMAIL:
Hide question 2 feedback
Plug in -1.59 for
x. y = 5 + .3*1.59
y = 4.523
Residual is y-given - y-predicted.
5.78 - 4.523 = 1.257 -> this is the residual value.
To see if it is an outlier take 2 and multiply it by
.52 2*.52 = 1.04
1.257 is greater than 1.04, Yes it is an outlier.
Question 3 pts.
The following data represent the weight of a child riding a bike and the rolling
distance achieved after going down a hill without pedaling.
Weight Rolling Distance
(lbs.) (m.)
59 26
83 43
97 49
FOR MORE EXAMS
EMAIL:
, FOR MORE EXAMS
EMAIL:
56 20
103 65
87 44
APEI
88 48
FOR MORE EXAMS
EMAIL: