Allowance in peso (x) (y) xy 88 10,560 120 14,400 90 13,500 7,744 150 22,500 85 8,500 8,100 100 10,000 87 10,440 7,225 120 14,400 92 7,360 7,569 80 6,400 85 8,500 8,464 100 10,000 89 13,350 7,225 150 22,500 Σν-616 Exy 72,210 7,921 Cr%=820 Ex =100,200 Ey = 54,248 n(Exy)-(E*)-(Ev) n(Ex*)-(E*)' •/"(Ey)-(Ex} Interpretation: othesis testing: H H: Use test with a = and df=. 3 Tab %3D n-2 1-r T =. Decision: Conclusion: CORRELATION

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Author:Amos Gilat
Publisher:Amos Gilat
Chapter1: Starting With Matlab
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Please answer step 1-5. Gladly appreciate it.

 

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Step 4 Computed value of
7-2
T 0.47
1-(0.47)
-0.47
0.78
0.47/6.41
- 0.47(2.53)
1.19.
Step 5
Since T <T, then we do not reject H,
tab
Conclusion: There is no correlation between the grades in Math and in English
Check Your Progress
Determine if there is correlation between the daily allowance of students and their me
grade in all of their subjects using the data below. Use Pearson's r product moment
correlation. Then, test the hypothesis whether there is a significant correlation or not
Use a =5%.
adi wode anite elerbog
orliogvd
Allowance in pesos (x)
Average Grade (y)
120
88
150
90
100
85
120
87
80
92
100
85
150
89
oriw.
16 70
Tol sldst Jast-1 odt
TAAC
CORRELATION AND REGRESSION
Transcribed Image Text:Step 4 Computed value of 7-2 T 0.47 1-(0.47) -0.47 0.78 0.47/6.41 - 0.47(2.53) 1.19. Step 5 Since T <T, then we do not reject H, tab Conclusion: There is no correlation between the grades in Math and in English Check Your Progress Determine if there is correlation between the daily allowance of students and their me grade in all of their subjects using the data below. Use Pearson's r product moment correlation. Then, test the hypothesis whether there is a significant correlation or not Use a =5%. adi wode anite elerbog orliogvd Allowance in pesos (x) Average Grade (y) 120 88 150 90 100 85 120 87 80 92 100 85 150 89 oriw. 16 70 Tol sldst Jast-1 odt TAAC CORRELATION AND REGRESSION
table for the needed values is already provided below.
Average Grade
(y)
able
Allowance
in peso (x)
xy
88
10,560
120
14,400
90
13,500
150
7,744
85
22,500
8,500
8,100
100
10,000
87
10,440
7,225
120
14,400
92
7,360
7,569
80
6,400
85
8,500
8,464
100
10,000
89
13,350
7,225
150
22,500
Σν-616
Exy =72,210
7,921
Ex=820
Ex² =100,200
Ey =54,248
English.
%3D
n(Exy)-(E*)-(Ey)
Vn(E*)-(E*)* • /n(Ev°)-(E*}
ir mean
nt
not.
Interpretation:
Hypothesis testing:
Step 1 H
H:
2as sho
Step 2 Use
test with a =
and df =
Step 3 T
%3D
tab
Step 4 T
n-2
1-r?
00
T =
%3D
Step 5 Decision:
Conclusion:
CORRELATION
231
Transcribed Image Text:table for the needed values is already provided below. Average Grade (y) able Allowance in peso (x) xy 88 10,560 120 14,400 90 13,500 150 7,744 85 22,500 8,500 8,100 100 10,000 87 10,440 7,225 120 14,400 92 7,360 7,569 80 6,400 85 8,500 8,464 100 10,000 89 13,350 7,225 150 22,500 Σν-616 Exy =72,210 7,921 Ex=820 Ex² =100,200 Ey =54,248 English. %3D n(Exy)-(E*)-(Ey) Vn(E*)-(E*)* • /n(Ev°)-(E*} ir mean nt not. Interpretation: Hypothesis testing: Step 1 H H: 2as sho Step 2 Use test with a = and df = Step 3 T %3D tab Step 4 T n-2 1-r? 00 T = %3D Step 5 Decision: Conclusion: CORRELATION 231
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