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Daily soiling rate computed from the MISR-derived estimates of the AOD by using the linear regression shown in Fig. 6.
We used the linear regression shown in Fig. 6 in order to estimate the daily soiling rate over the Atacama Desert from the MISR-derived estimates of the AOD.
a. Automated result for lava level (hourly average), converted to absolute elevation using the linear regression shown in Fig. 4.
As there are three parameters used in multiple linear regression shown in (9), the unbiased estimation requires the term of M – 3. Step 3: After LSDs of all sub-blocks are calculated, we extract maximum and minimum values of the obtained LSDs.
Note that the quality of spectrum prediction for structure A is characterized by R2 = 0.999 and a graph of the linear regression shown in Fig. 14. demonstrates almost perfect coincidence with the target line Y = X. Figure 14 The correlation between calculated and experimental 13 C NMR spectra for structure A. The target line Y = X is colored in blue.
The linear regression shown was highly significant (P < 0.001) with r = 0.97.
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A linear regression showed that the atmospheric concentration of NOx had no effect on the nitrogen content (R2 < 0.01).
Multiple linear regression showed that both age and sex had an independent effect on energy intake.
A linear regression showed no direct relationship between nitrogen deposition and the parameters measured for this lichen (R2 = 0.14 for nitrogen content, R2 = 0.07 for the C N ratio and R2 = 0.16 for the δ15N).
The linear regression shows concordance between measured weights and predicted weights on the Broselow tape.
Multivariable linear regression showed no other significant characteristics associated with the CarerQoL-7D score.
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