Mr. Sergio Marquina also known as El Professor wants to see how strong the response of government between the time arrival of police and his expected time. Mr. Sergio Marquina also known as El Professor wants to see how strong the response of government between the time arrival of police and his expected time. Expected time (seconds) Station Time Arrival XY (seconds) 56 55 46 55 3. 67 57 4. 57 60 65 58 46 55 7. 68 64 2. 5.

MATLAB: An Introduction with Applications
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ISBN:9781119256830
Author:Amos Gilat
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Please help me answer the following, thanks. ASAP

Mr. Sergio Marquina also known as El
Professor wants to see how strong the
response of government between the time
arrival of police and his expected time.
Mr. Sergio Marquina also known as El Professor wants to see how strong the response of government
between the time arrival of police and his expected time.
Station
Time Arrival
Expected time
XY
(seconds)
(seconds)
56
55
46
55
67
57
57
60
65
58
46
55
7.
68
64
1.
2.
3.
4.
5.
Transcribed Image Text:Mr. Sergio Marquina also known as El Professor wants to see how strong the response of government between the time arrival of police and his expected time. Mr. Sergio Marquina also known as El Professor wants to see how strong the response of government between the time arrival of police and his expected time. Station Time Arrival Expected time XY (seconds) (seconds) 56 55 46 55 67 57 57 60 65 58 46 55 7. 68 64 1. 2. 3. 4. 5.
What is the total of x^2? *
Your answer
What is the interpretation of pearson
product of the situation? *
O Perfect positive correlation
O Very High Positive correlation
O High Positive correlation
O Moderately positve correlation
Low Positive correlation
Very Low Positive correlation
O No correlation
Transcribed Image Text:What is the total of x^2? * Your answer What is the interpretation of pearson product of the situation? * O Perfect positive correlation O Very High Positive correlation O High Positive correlation O Moderately positve correlation Low Positive correlation Very Low Positive correlation O No correlation
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