4. Off to college The Bureau of Labor Statistics looked at the association between students' GPAS in high school (gpa_HS) and their freshmen GPAS at a University of California school (gpa_U). The resulting least-squares regression equation is gpa_U = 0.22 + 0.72gpa_HS. Calculate the residual for a student with a 3.8 in high school who achieved a freshman GPA of 3.5. A) –0.844 C) 2.956 B) -0.544 D) 0.544

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I need help with number 4, please. 

ual of 4.3 words per minute. How should he interpret
this?
A) He types slower than the model predicted, given the
amount of time he spent training.
B) He types faster than the model predicted, given the
amount of time he spent training.
C) He can't interpret his residual without also knowing
the correlation.
D) He can't interpret his residual without also knowing
the size of other people's residuals.
4. Off to college The Bureau of Labor Statistics
looked at the association between students' GPAS
in high school (gpa_HS) and their freshmen GPAS
at a University of California school (gpa_U).
The resulting least-squares regression equation is
gpa_U = 0.22 + 0.72gpa_HS. Calculate the residual
for a student with a 3.8 in high school who achieved
a freshman GPA of 3.5.
A) –0.844
C) 2.956
5. Linear models and residuals A researcher analyzing
B) -0.544
D) 0.544
|
some data created a linear model with R²
having the residuals plot seen here. What should she
conclude?
= 94% and
-5+
10
5
Residual
Transcribed Image Text:ual of 4.3 words per minute. How should he interpret this? A) He types slower than the model predicted, given the amount of time he spent training. B) He types faster than the model predicted, given the amount of time he spent training. C) He can't interpret his residual without also knowing the correlation. D) He can't interpret his residual without also knowing the size of other people's residuals. 4. Off to college The Bureau of Labor Statistics looked at the association between students' GPAS in high school (gpa_HS) and their freshmen GPAS at a University of California school (gpa_U). The resulting least-squares regression equation is gpa_U = 0.22 + 0.72gpa_HS. Calculate the residual for a student with a 3.8 in high school who achieved a freshman GPA of 3.5. A) –0.844 C) 2.956 5. Linear models and residuals A researcher analyzing B) -0.544 D) 0.544 | some data created a linear model with R² having the residuals plot seen here. What should she conclude? = 94% and -5+ 10 5 Residual
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