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Algorithm For Managing The Non-Transport Effect At Railway Transport Enterprises

Table 4: Matrix of paired correlation coefficients between indicators characterizing the socio-economic level of development of regions

Кij Y 1 Y 2 Y 3 Y 4 Y 5 Y 6 Y 7 Y 8 Y 9 Y 10 Y 11 Y 12 Y 13 Y 14 Y 15
Y1 1 0.941 0.378 0.491 0.415 0.533 0.506 0.649 0.243 0.950 0.334 0.050 0.234 0.559 0.418
Y 2 0.941 1 0.616 0.666 0.578 0.749 0.711 0.713 0.337 0.831 0.343 0.070 0.202 0.481 0.304
Y 3 0.378 0.616 1 0.568 0.559 0.742 0.767 0.345 0.559 0.242 0.273 0.069 – – 0.287
Y 4 0.491 0.666 0.568 1 0.505 0.906 0.871 0.599 0.461 0.261 0.390 0.210 0.084 0.200 0.398
Y 5 0.415 0.578 0.559 0.505 1 0.667 0.597 0.266 0.193 0.336 0.317 – 0.166 0.062 0.245
Y 6 0.533 0.749 0.742 0.906 0.667 1 0.919 0.538 0.438 0.342 0.330 0.094 0.070 0.125 0.392
Y 7 0.506 0.711 0.767 0.871 0.597 0.919 1 0.555 0.631 0.276 0.385 0.107 – 0.107 0.378
Y 8 0.649 0.713 0.345 0.599 0.266 0.538 0.555 1 0.473 0.335 0.280 0.059 0.057 0.630 0.406
Y 9 0.243 0.337 0.559 0.461 0.193 0.438 0.631 0.473 1 0.058 0.335 0.205 – 0.067 0.249
Y 10 0.950 0.831 0.242 0.261 0.336 0.342 0.276 0.335 0.058 1 0.270 0.069 0.255 0.613 0.267
Y 11 0.334 0.343 0.273 0.390 0.317 0.330 0.385 0.280 0.335 0.270 1 0.515 0.116 0.066 0.600
Y 12 0.050 0.070 0.069 0.210 – 0.094 0.107 0.059 0.205 0.069 0.515 1 – – 0.231
Y 13 0.234 0.202 – 0.084 0.166 0.070 – 0.057 – 0.255 0.116 – 1 0.408 0.019
Y 14 0.559 0.481 – 0.200 0.062 0.125 0.107 0.630 0.067 0.613 0.066 – 0.408 1 0.236
Y 15 0.418 0.304 0.287 0.398 0.245 0.392 0.378 0.406 0.249 0.267 0.600 0.231 0.019 0.236 1
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