AnswersSC-Statistical Modeling SDPCResiduals

Residuals Answers

13 verified answers
1
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Question text not available

Answer:

5

2
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Question text not available

Answer:

-6.00

3

8.4 8.8 ✔ 9.29.6

A
8.4
B
8.8
C
✔ 9.2
D
9.6
4

–30,000 ✔ –26,00026,000 30,000

A
–30,000
B
✔ –26,000
C
26,000
D
30,000
5

Calculate the residuals for 2 and 5 phone lines, to the nearest cent.

Answer:

2.50

6

What is the residual for the amount of monthly interest paid on a loan after 30 months?

A
–202.27
B
–1.87
C
1.87
D
202.27
7

Calculate and interpret the residual for this plant after 5 weeks.

Answers:
The residual is , which means that the predicted height of the plant is than the actual height of the plant of centimeters.:0.4
The residual is , which means that the predicted height of the plant is than the actual height of the plant of centimeters.:0.4 centimeters less
The residual is , which means that the predicted height of the plant is than the actual height of the plant of centimeters.:9.2
8

✔ 0.4 centimeters less0.4 centimeters greater 2.8 centimeters less 2.8 centimeters greater

A
✔ 0.4 centimeters less
B
0.4 centimeters greater
C
2.8 centimeters less
D
2.8 centimeters greater
9

Calculate and interpret the residual for this plant after 5 weeks.

Answers:
The residual is , which means that the predicted height of the plant is than the actual height of the plant of centimeters.:0.4
The residual is , which means that the predicted height of the plant is than the actual height of the plant of centimeters.:0.4 centimeters less
The residual is , which means that the predicted height of the plant is than the actual height of the plant of centimeters.:9.2
10

The data points in the table show (number of absences, test score). Which shows the residual plot?Use this table to answer the question.

A
Option
Option A
B
Option
Option B
C
Option
Option C
11

The residual plot shows the residuals for the day of the month and the amount in Kali’s checking account. Which statement best assesses the linearity of the relationship between the day of the month and account balance if the scatterplot appears to be reasonably linear?

A
Because the residual plot has an obvious pattern, and the scatterplot appears linear, it is appropriate to use the line of best fit to predict the account balance based on the day of the month.
B
Because the residual plot has an obvious pattern, and the scatterplot appears linear, it is not appropriate to use the line of best fit to predict the account balance based on the day of the month.
C
Because the residual plot has no obvious pattern, and the scatterplot appears linear, it is appropriate to use the line of best fit to predict the account balance based on the day of the month.
D
Because the residual plot has no obvious pattern, and the scatterplot appears linear, it is not appropriate to use the line of best fit to predict the account balance based on the day of the month.
12

The residual plot shows the residuals for a person’s age and their vertical jump (in inches). Which statement best assesses the linearity of the relationship between age and vertical jump if it is known that the scatterplot appears to be approximately linear?

A
Although it is given that the scatterplot is approximately linear, because the residual plot has no obvious pattern, it is appropriate to use the line of best fit to predict vertical jump based on age.
B
Although it is given that the scatterplot is reasonably linear, because the residual plot has no obvious pattern, it is not appropriate to use the line of best fit to predict vertical jump based on age.
C
Although it is given that the scatterplot is reasonably linear, because the residual plot has a clear curved pattern, it is appropriate to use the line of best fit to predict vertical jump based on age.
D
Although it is given that the scatterplot is reasonably linear, because the residual plot has a clear curved pattern, it is not appropriate to use the line of best fit to predict vertical jump based on age.
13

The residual plot shows the residuals for a student’s GPA and daily amount of time spent on social media (in hours). Which statement best assesses the linearity of the relationship between GPA and daily time on social media if the scatterplot appears to be reasonably linear?

A
Because the residual plot has a clear pattern, rather than the desired random scatter, it is appropriate to use the line of best fit to predict GPA based on daily time on social media.
B
Because the residual plot has a clear pattern, rather than the desired random scatter, it is not appropriate to use the line of best fit to predict GPA based on daily time on social media.
C
Because the residual plot has no obvious pattern, it is appropriate to use the line of best fit to predict GPA based on daily time on social media.
D
Because the residual plot has no obvious pattern, it is not appropriate to use the line of best fit to predict GPA based on daily time on social media.

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