MATH225 WEEK 8 FINAL
Version 3
Question
The table shows data collected on the relationship between the time spent
studying per day and the time spent reading per day. The line of best fit for
the data is yˆ=0.16x+36.2. Assume the line of best fit is significant and
there is a strong linear relationship between the variables.
Studying (Minutes)507090110Reading
(Minutes)44485054
(a) According to the line of best fit, what would be the predicted number of
minutes spent reading for someone who spent 67 minutes studying? Round
your answer to two decimal places.
Perfect. Your hard work is paying off 😀
The predicted number of minutes spent reading is 46 point 9 2$$46.9246
point 9 2 - correct.
response - correct
Answer Explanation
The predicted number of minutes spent reading is 1$$1 - no response
given.
Correct answers:
146 point 9 2$46.92$46.92
Substitute 67 for x into the line of best fit to estimate the number of
minutes spent reading for someone who spent 67 minutes studying:
yˆ=0.16(67)+36.2=46.92.
, Question
The table shows data collected on the relationship between the time spent
studying per day and the time spent reading per day. The line of best fit for
the data is yˆ=0.16x+36.2.
Studying (Minutes)507090110Reading
(Minutes)44485054
(a) According to the line of best fit, the predicted number of minutes spent
reading for someone who spent 67 minutes studying is 46.92.
(b) Is it reasonable to use this line of best fit to make the above prediction?
Great work! That's correct.
The estimate, a predicted time of 46.92 minutes, is both reliable and
reasonable.
The estimate, a predicted time of 46.92 minutes, is both unreliable and
unreasonable.
The estimate, a predicted time of 46.92 minutes, is reliable but
unreasonable.
The estimate, a predicted time of 46.92 minutes, is unreliable but
reasonable.
Answer Explanation
Correct answer:
The estimate, a predicted time of 46.92 minutes, is both reliable and
reasonable.
The data in the table only includes studying times between 50 and 110
minutes, so the line of best fit gives reliable and reasonable predictions for
Version 3
Question
The table shows data collected on the relationship between the time spent
studying per day and the time spent reading per day. The line of best fit for
the data is yˆ=0.16x+36.2. Assume the line of best fit is significant and
there is a strong linear relationship between the variables.
Studying (Minutes)507090110Reading
(Minutes)44485054
(a) According to the line of best fit, what would be the predicted number of
minutes spent reading for someone who spent 67 minutes studying? Round
your answer to two decimal places.
Perfect. Your hard work is paying off 😀
The predicted number of minutes spent reading is 46 point 9 2$$46.9246
point 9 2 - correct.
response - correct
Answer Explanation
The predicted number of minutes spent reading is 1$$1 - no response
given.
Correct answers:
146 point 9 2$46.92$46.92
Substitute 67 for x into the line of best fit to estimate the number of
minutes spent reading for someone who spent 67 minutes studying:
yˆ=0.16(67)+36.2=46.92.
, Question
The table shows data collected on the relationship between the time spent
studying per day and the time spent reading per day. The line of best fit for
the data is yˆ=0.16x+36.2.
Studying (Minutes)507090110Reading
(Minutes)44485054
(a) According to the line of best fit, the predicted number of minutes spent
reading for someone who spent 67 minutes studying is 46.92.
(b) Is it reasonable to use this line of best fit to make the above prediction?
Great work! That's correct.
The estimate, a predicted time of 46.92 minutes, is both reliable and
reasonable.
The estimate, a predicted time of 46.92 minutes, is both unreliable and
unreasonable.
The estimate, a predicted time of 46.92 minutes, is reliable but
unreasonable.
The estimate, a predicted time of 46.92 minutes, is unreliable but
reasonable.
Answer Explanation
Correct answer:
The estimate, a predicted time of 46.92 minutes, is both reliable and
reasonable.
The data in the table only includes studying times between 50 and 110
minutes, so the line of best fit gives reliable and reasonable predictions for
