Using Excel, solve (A), (B), and (C). A) The mean values, and the standard deviation of the above samples of W and N. B) Find the correlation coefficient value of two variables N and W. C) Fint the simple linear regression equation of W and N: W=bo+biN.

MATLAB: An Introduction with Applications
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Chapter1: Starting With Matlab
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In the following data set, there are two variables:
Corn plant final weight(W) is in grams, and the amount of nitrogen (N)
added per pot is in mg.
Nitrogen(N) weight(W)
127
282
316
240
371
432
20
22
40
41
60
65
80
83
100
110
483
481
644
553
Using Excel, solve (A), (B), and (C).
A) The mean values, and the standard deviation of the above samples of
W and N.
B) Find the correlation coefficient value of two variables N and W.
C) Fint the simple linear regression equation of W and N:
W=bo+biN.
(D) What is the expected value of weight W when the Nitrogen takes a
value of 50?
(E) Interpret the meaning of b₁.
Transcribed Image Text:In the following data set, there are two variables: Corn plant final weight(W) is in grams, and the amount of nitrogen (N) added per pot is in mg. Nitrogen(N) weight(W) 127 282 316 240 371 432 20 22 40 41 60 65 80 83 100 110 483 481 644 553 Using Excel, solve (A), (B), and (C). A) The mean values, and the standard deviation of the above samples of W and N. B) Find the correlation coefficient value of two variables N and W. C) Fint the simple linear regression equation of W and N: W=bo+biN. (D) What is the expected value of weight W when the Nitrogen takes a value of 50? (E) Interpret the meaning of b₁.
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