SOLUTION: For the number of hours studying (x) to predict a score on an exam (y), the Least-Squares regression line is y = 49.7124 + 4.288 (x) The observed score for a student who stud

Algebra.Com
Question 847020: For the number of hours studying (x) to predict a score on an exam (y), the Least-Squares regression line is
y = 49.7124 + 4.288 (x)
The observed score for a student who studied for 10 hours was 94.
What is the residual?
Question 10 options:

0

4.288

1.4

452.8

Answer by ewatrrr(24785)   (Show Source): You can put this solution on YOUR website!
 
Hi,
y = 49.7124 + 4.288 (10) = 92.594 0r 95.6
95.6 - 94 = 1.4
RELATED QUESTIONS

For the number of hours studying (x) to predict a score on an exam (y), the Least-Squares (answered by ewatrrr)
In a statistics course, a linear regression equation was computed to predict the final... (answered by ewatrrr)
A statistic professor conducts a study to investigate the relationship between the... (answered by Theo)
The data below are the final exam scores of 10 randomly selected statistics students and... (answered by ewatrrr)
Find the equation of the regression of the line for the given data. Then construct a... (answered by stanbon)
A manufacturer of exercise bicycles is studying the relationship between the number of... (answered by stanbon)
2. The data below are the final exam scores of 10 randomly selected statistics students... (answered by lynnlo)
Find the equation of the regression line for the given data. Then construct a scatter... (answered by ewatrrr)
Lucas believes that his score on an upcoming test can be modeled by the equation y = 7.2... (answered by josgarithmetic,ikleyn)