3b, 3c, and 3d

MATLAB: An Introduction with Applications
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Chapter1: Starting With Matlab
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Can you answer the questions in 3b, 3c, and 3d? Thank you

3. Show manual computation. Refer to the table below.
y2
Statistics (x)
Calculus (y)
ху
30
28
840
900
789
22
32
704
484
1024
27
30
810
729
900
27
33
891
729
1089
29
30
870
84)
900
27
28
756
729
789
27
32
864
729
1024
h98
550
27
32
729
1024
22
25
484
625
28
32
896
784
1024
21
25
525
44)
625
21
30
630
44)
go0
28
32
896
784
1024
20
26
520
400
676
29
30
870
900
a) What is the correlation coefficient? Interpret the result.
η Σxy- (Εx) (2)
Vnz x2 - (Zx)? /nzyz-(Ey)?
15 (1486) - (385)(445)
r=
V15 ( 1004s) - (385) /15 (13363) - (445)2
915
( 351) (4/45)
r= 0. 50006041 53
b) What is the best fit line that best describes the above data?
Transcribed Image Text:3. Show manual computation. Refer to the table below. y2 Statistics (x) Calculus (y) ху 30 28 840 900 789 22 32 704 484 1024 27 30 810 729 900 27 33 891 729 1089 29 30 870 84) 900 27 28 756 729 789 27 32 864 729 1024 h98 550 27 32 729 1024 22 25 484 625 28 32 896 784 1024 21 25 525 44) 625 21 30 630 44) go0 28 32 896 784 1024 20 26 520 400 676 29 30 870 900 a) What is the correlation coefficient? Interpret the result. η Σxy- (Εx) (2) Vnz x2 - (Zx)? /nzyz-(Ey)? 15 (1486) - (385)(445) r= V15 ( 1004s) - (385) /15 (13363) - (445)2 915 ( 351) (4/45) r= 0. 50006041 53 b) What is the best fit line that best describes the above data?
15 (1486) - (385)(45)
r=
V15 ( 10045) - (3 85)i /15 (13302) - (445)a
945
( 351) (445)
r= 0.50006041 53
b) What is the best fit line that best describes the above data?
c) Using the regression line at (b), what would be the score of a student in calculus if the
student got 19 in statistics?
d) using the regression line at (b), what would be the score of a student in statistics if the
score in calculus is 23?
Transcribed Image Text:15 (1486) - (385)(45) r= V15 ( 10045) - (3 85)i /15 (13302) - (445)a 945 ( 351) (445) r= 0.50006041 53 b) What is the best fit line that best describes the above data? c) Using the regression line at (b), what would be the score of a student in calculus if the student got 19 in statistics? d) using the regression line at (b), what would be the score of a student in statistics if the score in calculus is 23?
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