A regression between foot length (response variable in cm) and height (explanatory variable in inches) for 42 students resulted in the following regression equation: ŷ = 10.4 + 0.21x a) One student is 74 inches tall with a foot length of 28 cm. What is the predicted foot length for this student? b) What is the residual for this student? c) If a student happened to be extraordinarily tall (say, 10ft, just for the fun of it) and had a foot size of 25 cm, how might this affect the slope of the regression line?
A regression between foot length (response variable in cm) and height (explanatory variable in inches) for 42 students resulted in the following regression equation: ŷ = 10.4 + 0.21x a) One student is 74 inches tall with a foot length of 28 cm. What is the predicted foot length for this student? b) What is the residual for this student? c) If a student happened to be extraordinarily tall (say, 10ft, just for the fun of it) and had a foot size of 25 cm, how might this affect the slope of the regression line?
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![2.
A regression between foot length (response variable in cm) and height (explanatory variable
in inches) for 42 students resulted in the following regression equation:
10.4 + 0.21x
a) One student is 74 inches tall with a foot length of 28 cm. What is the predicted foot length for this
student?
b) What is the residual for this student?
c) If a student happened to be extraordinarily tall (say, 10ft, just for the fun of it) and had a foot size
of 25 cm, how might this affect the slope of the regression line?](/v2/_next/image?url=https%3A%2F%2Fcontent.bartleby.com%2Fqna-images%2Fquestion%2Fa02d2b9a-63b2-4e6f-a189-4bf19534b52e%2Ff4debc1d-9cbf-4138-a40b-3fb5e4f5fcf0%2F2b53j5j_processed.png&w=3840&q=75)
Transcribed Image Text:2.
A regression between foot length (response variable in cm) and height (explanatory variable
in inches) for 42 students resulted in the following regression equation:
10.4 + 0.21x
a) One student is 74 inches tall with a foot length of 28 cm. What is the predicted foot length for this
student?
b) What is the residual for this student?
c) If a student happened to be extraordinarily tall (say, 10ft, just for the fun of it) and had a foot size
of 25 cm, how might this affect the slope of the regression line?
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