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Log ( G/a) Vs Log (T)

The document contains plots of log(Δg/A) versus log(t) with linear trend lines added. There are multiple plots presented in columns A through E, each with data points and linear equations shown. The plots compare the logarithm of the change in g over a surface area versus the logarithm of time.

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nelsonagustin
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48 views12 pages

Log ( G/a) Vs Log (T)

The document contains plots of log(Δg/A) versus log(t) with linear trend lines added. There are multiple plots presented in columns A through E, each with data points and linear equations shown. The plots compare the logarithm of the change in g over a surface area versus the logarithm of time.

Uploaded by

nelsonagustin
Copyright
© © All Rights Reserved
We take content rights seriously. If you suspect this is your content, claim it here.
Available Formats
Download as XLSX, PDF, TXT or read online on Scribd
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log(g/A) vs log(t)

1.9
1.17609126 1.81475819
1.891718608
1.47712126 1.89171861
1.88
1.77815125 1.85465091
1.95424251 1.86572387 f(x) = 0.0463339392x + 1.7827453213 1.865723868
1.86
1.854650911

1.84

1.82
1.814758191

1.8
1100
Column
1.78
Linear
(Column
1.76
1.1 1.2 1.3 1.4 1.5 1.6 1.7 1.8 1.9 2
t)

1.865723868
1.854650911

Column B
Linear
(Column B)
.8 1.9 2
log(g/A) vs log(t)
1.82
1.17609126 1.70752249 f(x) = 0.1271756695x + 1.5684312823 1.810082573
1.8 1.8
1.47712126 1.76765001
1.77815125 1.81008257 1.78
1.95424251 1.80056381 1.767650012
1.76

1.74

1.72
950 1.707522486
1.7

1.68

1.66

1.64
1.1 1.2 1.3 1.4 1.5 1.6 1.7 1.8 1.9 2
g/A) vs log(t)
4312823 1.810082573
1.800563811

650012

Column
C

1.6 1.7 1.8 1.9 2


log(g/A) vs log(t)
1.2
1.17609126 0.61159587 1.09632
1.47712126 0.76383963 f(x) = 0.6166268599x - 0.1286230552
1
1.77815125 0.95127922 0.95127922
1.95424251 1.09632941
0.8
0.763839629

0.6 0.611595867

800
0.4

0.2

0
1.1 1.2 1.3 1.4 1.5 1.6 1.7 1.8 1.9 2
g/A) vs log(t)

1.096329408
30552
0.95127922

9629

Column C
Linear
(Column C)
6 1.7 1.8 1.9 2
log(g/A) vs log(t)
1.17609126 0.73456782 1.4
1.47712126 0.78690751 1.261793
1.77815125 1.03756593 1.2
f(x) = 0.6747405801x - 0.1219482997
1.95424251 1.26179322 1.037565928
1

0.8 0.786907513
0.734567824
0.6

0.4

0.2

0
1.1 1.2 1.3 1.4 1.5 1.6 1.7 1.8 1.9 2
700
g/A) vs log(t)

1.261793217
82997
1.037565928

7513

Column C
Linear
(Column C)
6 1.7 1.8 1.9 2
log(g/A) vs log(t)
2.245
1.17609126 2.22161686 2.24064608
2.24
1.47712126 2.24064608
1.77815125 2.21987518 2.235
1.95424251 2.22918379
2.23 2.22918
f(x) = 0.0003449069x + 2.2272798691
2.225
2.221616861
2.22 2.23 2.219875181

2.215
2.225
2.21
2.22
600 2.205 f(x) = 0.004696023x + 2.2108481965
1.1 1.2 1.3 1.4 1.5 1.6 1.7 1.8 1.9 2
2.215

2.21
1.17609126 2.21836033
1.47712126 2.21796614
2.205
1.77815125 2.20991682 2.9542425 2.22161686
1.95424251 2.22713645 3.2552725 2.24064608
2.2
3.5563025 2.21987518
1.1 1.2 1.3 1.4 1.5 1.6 1.7 1.8 1.
3.7323937 2.22918379
g/A) vs log(t)

4608

2.229183794
72798691

2.219875181

Column C
2.245 Linear
(x) = 0.004696023x + 2.2108481965 (Column C)
1.6 1.7 1.8 1.9 2 2.24
Column B
2.235 Linear (Column B)

2.23

2.225 f(x) = 0.0003449067x + 2.2266665733 Column H


Linear (Column H)
2.22

1.3 1.4 1.5 1.6 1.7 1.82.215


1.9 2

2.21

2.205
2.9 3 3.1 3.2 3.3 3.4 3.5 3.6 3.7 3.8
0.00114548 7424.3333
0.00102775 0.1806
0.00093197 0.20856
0.00081766 7.8616
0.00072833 38.5032

2.5

600
0.0011454 2.2291837 2
1.8657238
1.8005638
0.0010277 1.2617932
0.0009319 1.0963294 f(x) = 231.9265151862x + 1.4349853741
1.5
0.0008176 1.8005638
1.2617932
0.0007283 1.8657238 1.0963294
1

0.5

0
0.0007 0.0008 0.0009 0.001 0.0011
2.2291837

238
1.8005638
231.9265151862x + 1.4349853741

1.2617932
1.0963294

Column E
Linear
(Column E)
Linear
08 0.0009 0.001 0.0011 0.0012 (Column E)

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