2017-11-30
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A cross-correlation analysis is used for the quantitative estimation of inter communication of two sets of the data presented in a dimensionless kind. A cross-correlation analysis gives an opportunity to set, whether the sets of data are associated on a size. The coefficient of correlation always designated by the Latin letter r.
Connection between signs (on the scale of Chaddock) can best rong, middle and weak. Crowd conditions connections determine on the size of coefficient of correlation, that can take on values from,
- 1 to +1 inclusive. The criteria of estimation of crowd conditions of connection are shown on Table 7
| The magnitude of the correlation coefficient | 0,1-0,3 | 0,3-0,5 | 0,5-0,7 | 0,9-1,0 |
| bond strength characteristics | weak | moderate | noticeable | high very high |
medium high
Table 7- Quantitative criteria of estimation of crowd conditions of connection
