Consider the following data on the number of hours which 10 persons lied for a test and their scores on the test: Hours Studied 4 9. 10 14 12 22 1 17 (x) Test Score 31 58 65 73 37 44 60 91 21 84 (y) (a) Find the equation of the least squares line that approximates the regression of the test scores on the number of hours studied. (b) Predict the average test score of a person who studied 14 hours for the test 4-

Advanced Engineering Mathematics
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ISBN:9780470458365
Author:Erwin Kreyszig
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Chapter2: Second-order Linear Odes
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oblem 1
died for a test and their scores on the test:
Consider the following data on the number of hours which 10 persons
Hours
Studied
4
9.
10
14
7
12
22
1
17
(x)
Test
Score
58
65
73
37
44
60
91
21
84
(y)
(a) Find the equation of the least squares line that approximates the regression of
the test scores on the number of hours studied.
(b) Predict the average test score of a person who studied 14 hours for the test
4.
31
Transcribed Image Text:oblem 1 died for a test and their scores on the test: Consider the following data on the number of hours which 10 persons Hours Studied 4 9. 10 14 7 12 22 1 17 (x) Test Score 58 65 73 37 44 60 91 21 84 (y) (a) Find the equation of the least squares line that approximates the regression of the test scores on the number of hours studied. (b) Predict the average test score of a person who studied 14 hours for the test 4. 31
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