From 4a326a3966854b09f3fc29957bb7f46a77c8c4ba Mon Sep 17 00:00:00 2001
From: =?UTF-8?q?=D0=9F=D0=BE=D0=BB=D1=8C=D0=B7=D0=BE=D0=B2=D0=B0=D1=82?=
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 =?UTF-8?q?=D1=82=D0=BE=D1=80=D0=B8=D0=B8=20=D0=96-202?=
 <u202-06@public.mpei.local>
Date: Thu, 12 Feb 2026 10:47:20 +0300
Subject: [PATCH] =?UTF-8?q?=D0=BF=D1=80=D0=BE=D0=BC=D0=B5=D0=B6=D1=83?=
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MIME-Version: 1.0
Content-Type: text/plain; charset=UTF-8
Content-Transfer-Encoding: 8bit

---
 ТЕМА2/Hist.jpg           | Bin 0 -> 27199 bytes
 ТЕМА2/photos/figure0.PNG | Bin 0 -> 6442 bytes
 ТЕМА2/photos/figure1.PNG | Bin 0 -> 13324 bytes
 ТЕМА2/report.md          | 823 +++++++++++++++++++++++++++++++++++
 ТЕМА2/res.mat            | Bin 0 -> 2504 bytes
 5 files changed, 823 insertions(+)
 create mode 100644 ТЕМА2/Hist.jpg
 create mode 100644 ТЕМА2/photos/figure0.PNG
 create mode 100644 ТЕМА2/photos/figure1.PNG
 create mode 100644 ТЕМА2/report.md
 create mode 100644 ТЕМА2/res.mat

diff --git a/ТЕМА2/Hist.jpg b/ТЕМА2/Hist.jpg
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diff --git a/ТЕМА2/report.md b/ТЕМА2/report.md
new file mode 100644
index 0000000..c01acd0
--- /dev/null
+++ b/ТЕМА2/report.md
@@ -0,0 +1,823 @@
+# Отчет по теме 2
+
+Бубнов Арсентий, А-03-24
+
+## 1 Установил в качестве текущей папки "ТЕМА2" 
+
+![Скриншот выбора текущей папки](photos/figure0.PNG)
+
+## 2 Работа с данными из файла "dan_vuz.txt"
+
+Прочитал данные из файла командой
+
+```matlab
+
+>> XX=load('dan_vuz.txt')
+
+```
+На выходе получил матрицу из файла "dan_vuz.txt"
+
+Проверил размерность матрицы ХХ:
+
+```matlab
+
+>> size(XX)
+ans =
+
+   290    15
+
+```
+
+В фале представленны данные о 290 вузвх
+
+Выделил в отдельную матрицу данные о показателях результативности:
+
+```matlab
+
+>> X=XX(:,3:13);
+
+```
+Рассчитал матрицу корреляций между показателями результативности:
+
+```matlab
+
+>> R=corr(X)
+R =
+
+   1.0000e+00   4.4320e-01   4.5229e-01   4.4779e-01   3.8123e-01   4.6516e-01   3.1487e-01   6.5579e-02   2.9153e-01   4.8811e-01   3.9815e-01
+   4.4320e-01   1.0000e+00   8.5319e-01   8.5331e-01   8.6240e-01   8.5436e-01   5.5145e-01   2.5082e-02   4.2348e-01   8.2170e-01   2.6183e-01
+   4.5229e-01   8.5319e-01   1.0000e+00   8.4660e-01   8.8651e-01   9.0335e-01   5.5091e-01   3.8840e-03   4.4396e-01   7.8358e-01   2.6408e-01
+   4.4779e-01   8.5331e-01   8.4660e-01   1.0000e+00   8.7038e-01   9.3849e-01   7.0924e-01   4.9500e-02   4.5873e-01   8.5183e-01   3.4420e-01
+   3.8123e-01   8.6240e-01   8.8651e-01   8.7038e-01   1.0000e+00   9.3605e-01   5.7668e-01   3.7562e-02   3.8322e-01   7.7266e-01   1.8751e-01
+   4.6516e-01   8.5436e-01   9.0335e-01   9.3849e-01   9.3605e-01   1.0000e+00   6.3033e-01   4.7121e-02   4.7592e-01   8.3810e-01   3.3118e-01
+   3.1487e-01   5.5145e-01   5.5091e-01   7.0924e-01   5.7668e-01   6.3033e-01   1.0000e+00   7.9448e-02   4.1878e-01   6.2936e-01   2.8287e-01
+   6.5579e-02   2.5082e-02   3.8840e-03   4.9500e-02   3.7562e-02   4.7121e-02   7.9448e-02   1.0000e+00   4.7985e-02   5.6462e-02   1.3662e-01
+   2.9153e-01   4.2348e-01   4.4396e-01   4.5873e-01   3.8322e-01   4.7592e-01   4.1878e-01   4.7985e-02   1.0000e+00   6.2616e-01   4.5537e-01
+   4.8811e-01   8.2170e-01   7.8358e-01   8.5183e-01   7.7266e-01   8.3810e-01   6.2936e-01   5.6462e-02   6.2616e-01   1.0000e+00   3.8799e-01
+   3.9815e-01   2.6183e-01   2.6408e-01   3.4420e-01   1.8751e-01   3.3118e-01   2.8287e-01   1.3662e-01   4.5537e-01   3.8799e-01   1.0000e+00
+ 
+```
+
+Получение собственных значений и собственных векторов от квадратичной формы:
+
+```matlab
+
+>> [vect,lambda]=eig(X'*X)
+vect =
+
+   1.3928e-03   3.7187e-02  -6.5276e-02   1.1402e-01  -5.7482e-02  -4.3369e-01  -8.6174e-01   1.8078e-02  -2.0942e-01   4.4068e-02   3.5306e-02
+  -8.0998e-04   6.0909e-01   3.8181e-01  -5.6588e-01  -2.6231e-01   2.2396e-01  -1.8894e-01  -2.6535e-02   7.3599e-02   6.2111e-03   4.6772e-02
+  -7.5396e-03  -4.5900e-01  -5.2153e-01  -6.7233e-01  -1.9752e-01   9.4377e-02  -1.1098e-01  -3.7697e-03   2.9602e-02  -4.1502e-02   4.8953e-02
+  -1.5197e-04  -2.3868e-03  -3.9384e-02   2.0471e-02   2.9085e-02  -4.2879e-02   3.9810e-02  -2.5705e-01   1.7315e-01   7.2027e-01   6.1556e-01
+   1.0985e-03  -2.1296e-02  -1.7772e-02   1.0189e-01   1.5147e-01   2.9246e-02  -2.2268e-01   9.3732e-02   8.4203e-01  -3.7246e-01   2.4277e-01
+   4.6341e-05   2.4446e-02   3.4514e-02   6.8266e-03  -2.8773e-02  -3.6347e-02   1.2360e-01   5.5571e-02  -4.0806e-01  -5.1787e-01   7.3685e-01
+   1.1860e-03   4.2558e-03   2.3496e-02  -4.8185e-02  -1.5673e-02  -5.8142e-02   5.8108e-02   9.5701e-01   5.2365e-03   2.5496e-01   9.5893e-02
+  -9.9994e-01   5.6340e-04   6.5198e-03   4.0470e-03   7.5475e-03   1.2608e-03  -2.3724e-03   1.4645e-03  -1.0271e-03   5.5851e-04   1.6945e-04
+  -1.6282e-03   4.6826e-01  -6.5978e-01   2.6872e-01   2.8869e-02   4.9535e-01  -1.2025e-01   5.8771e-02  -9.1452e-02   2.0459e-02   1.7911e-02
+   1.7002e-03  -4.2581e-01   3.3001e-01   2.8074e-01  -3.9004e-01   6.2610e-01  -2.7487e-01   3.6416e-02  -5.9676e-02   5.3342e-02   5.9523e-02
+   7.7010e-03  -1.2368e-01   1.7350e-01  -2.2481e-01   8.4320e-01   3.2876e-01  -2.2260e-01   1.8627e-02  -1.7997e-01   4.8313e-02   1.7425e-02
+
+lambda =
+
+Diagonal Matrix
+
+   2.2947e+01            0            0            0            0            0            0            0            0            0            0
+            0   1.9317e+03            0            0            0            0            0            0            0            0            0
+            0            0   2.5940e+03            0            0            0            0            0            0            0            0
+            0            0            0   3.4573e+03            0            0            0            0            0            0            0
+            0            0            0            0   5.6252e+03            0            0            0            0            0            0
+            0            0            0            0            0   8.6721e+03            0            0            0            0            0
+            0            0            0            0            0            0   1.8915e+04            0            0            0            0
+            0            0            0            0            0            0            0   4.7523e+04            0            0            0
+            0            0            0            0            0            0            0            0   5.7484e+04            0            0
+            0            0            0            0            0            0            0            0            0   2.2565e+05            0
+            0            0            0            0            0            0            0            0            0            0   7.4946e+06
+
+
+
+
+```
+
+В матрице lambda собственные значения расположены в возрастающем порядке на диагонали. Выделим их в отдельный вектор:
+
+```matlab
+
+>> Sobst=diag(lambda);
+
+```
+
+Представим их на экране с заголовком:
+
+```matlab 
+
+>> fprintf('Eigenvalues:\n %f \n',Sobst)
+Eigenvalues:
+ 22.946585
+Eigenvalues:
+ 1931.665464
+Eigenvalues:
+ 2593.979592
+Eigenvalues:
+ 3457.339562
+Eigenvalues:
+ 5625.151474
+Eigenvalues:
+ 8672.065947
+Eigenvalues:
+ 18914.627989
+Eigenvalues:
+ 47522.678185
+Eigenvalues:
+ 57483.681267
+Eigenvalues:
+ 225653.068540
+Eigenvalues:
+ 7494628.795394
+>> fprintf('\n')
+
+```
+
+Выделим наибольшее собственное значение и соответствующий ему собственный вектор:
+
+```matlab
+
+>> SobMax=Sobst(end)
+SobMax = 7.4946e+06
+
+```
+
+```matlab
+
+>> GlComp=vect(:,end)
+GlComp =
+
+   3.5306e-02
+   4.6772e-02
+   4.8953e-02
+   6.1556e-01
+   2.4277e-01
+   7.3685e-01
+   9.5893e-02
+   1.6945e-04
+   1.7911e-02
+   5.9523e-02
+   1.7425e-02
+
+```
+
+Рассчитал долю информации о результативности НИР, содержащуюся в главной компоненте и отобразил ее на экране:
+
+```matlab
+
+>> Delt=100*SobMax/sum(Sobst)
+Delt = 95.273
+
+```
+
+```matlab
+
+>> fprintf('Delta= %d \n ',round(Delt))
+Delta= 95
+
+```
+
+С использованием главной компоненты рассчитал оценки обобщенной результативности в каждом из представленных в матрице вузов и отобразил ее с указанием кода вуза:
+
+```matlab 
+
+ >> Res=X*GlComp
+Res =
+
+   9.2542e+01
+   7.3433e+01
+   5.8855e+00
+   3.5300e+01
+   7.0208e+01
+   2.8096e+01
+   8.7136e+01
+   7.9776e+01
+   3.6243e+01
+   1.8250e+01
+   4.9667e+01
+   4.5067e+01
+   8.1785e+01
+   5.5559e+00
+   1.0536e+02
+   4.5755e+00
+   3.8120e+02
+   2.6713e+01
+   8.0376e+00
+   1.1963e+02
+   1.0061e+01
+   6.3763e+01
+   9.0877e+00
+   4.1684e+01
+   3.5907e+01
+   7.6140e+01
+   2.3753e+01
+   1.4222e+02
+   6.7756e+01
+   2.0598e+01
+   7.6819e+01
+   1.0428e+02
+   1.8542e+01
+   4.4740e+00
+   3.5809e+00
+   2.2476e+02
+   2.6864e+01
+   2.1291e+02
+   5.0922e+01
+   3.3628e+01
+   4.2168e+01
+   1.0370e+02
+   1.3606e+02
+   7.1371e+02
+   3.4027e+01
+   4.1023e+00
+   2.7087e+01
+   2.6675e+00
+   2.4976e+00
+   1.0383e+02
+   7.4607e+00
+   3.4755e+01
+   4.3597e+00
+   5.7412e+00
+   1.5989e+01
+   4.5400e+01
+   2.4622e+00
+   6.4244e+00
+   6.6503e+01
+   7.3936e+01
+   1.1131e+01
+   3.6843e+00
+   9.9705e+00
+   2.8031e+01
+   1.3524e+00
+   4.0905e+01
+   1.1723e+01
+   3.0793e+01
+   4.2716e+01
+   1.0023e+01
+   3.2260e+01
+   2.5495e+01
+   3.6870e+01
+   4.2948e+01
+   8.7963e+01
+   2.2867e+02
+   9.9146e+01
+   2.8750e+01
+   9.6222e+00
+   1.3600e+00
+   5.4214e+01
+   1.0755e+02
+   1.1611e+02
+   2.9910e+02
+   1.4333e+01
+   2.0479e+01
+   1.4491e+02
+   1.4953e+01
+   2.5976e+01
+   2.6815e+02
+   1.2354e+01
+   4.5261e+00
+   1.0466e+02
+   9.1265e+01
+   2.0933e+02
+   1.9645e+02
+   4.8121e+00
+   1.3877e+00
+   5.0733e+01
+   1.1863e+02
+   2.1253e+02
+   3.7745e+01
+   3.0102e+01
+   3.2067e+02
+            0
+   4.1450e+01
+   1.4112e+02
+   4.0535e+02
+   1.2875e+01
+   1.1761e+02
+   8.9899e+00
+   7.4655e+01
+   8.9566e+01
+   3.7993e+01
+   4.0600e+01
+   3.7339e+01
+   1.4293e+02
+   9.1226e+00
+   5.3464e+01
+   9.3290e+01
+   5.7155e+01
+   1.9139e+01
+   5.4915e+00
+   8.5213e+01
+   1.7064e+02
+   9.0454e+01
+   5.7811e+01
+   7.3730e+00
+   9.6149e+00
+   1.8467e+00
+   1.7647e+01
+   1.5391e+02
+   1.1984e+02
+   5.0102e+00
+   2.6920e+00
+   3.7930e+02
+   1.3497e+01
+   2.4622e+00
+   1.9718e+01
+   2.0067e+02
+   9.3618e+01
+   2.5651e+01
+   2.6345e+01
+   6.5286e+01
+   2.1515e+01
+   1.7651e+02
+   1.8989e+03
+   9.1241e+01
+   3.0455e+02
+   6.3560e+00
+   3.4394e+00
+   1.5886e+02
+   1.8780e+02
+   2.6561e+01
+   8.6579e+00
+   1.1032e+02
+   2.1287e+01
+   8.0285e+00
+   7.6977e+01
+   1.4832e+02
+   9.7178e+01
+   6.7131e+00
+   8.8631e+01
+   3.3340e+02
+   2.7838e+01
+   1.1663e+01
+            0
+   7.1250e+01
+   3.6976e-01
+   1.0361e+01
+   3.8551e+00
+   8.1569e+01
+   5.4637e+01
+   2.3502e+01
+   9.0447e+01
+   5.7162e+01
+   1.6285e+02
+   3.0587e+02
+   6.3233e+00
+   5.9416e+01
+   4.6966e+01
+   5.6661e+01
+   8.1568e+02
+   4.7723e+01
+   2.7702e+02
+   3.2809e+02
+   1.1359e+02
+   1.1709e+01
+   3.3970e+01
+   9.1338e-01
+   1.2267e+02
+   5.9979e+01
+   7.4911e+00
+   1.2504e+01
+   2.4209e+01
+   4.0011e+02
+   2.6358e+02
+   2.5931e+01
+   3.6895e+01
+   2.5478e+02
+   6.8701e+00
+   1.2626e+01
+   2.3784e+01
+   3.1599e+00
+   5.1518e+00
+            0
+   1.0677e+02
+   1.5783e+01
+   3.0701e+01
+   6.4990e+01
+   4.3088e+01
+   3.1124e+01
+   5.1718e+00
+   4.8085e+01
+   5.3479e+00
+   2.1246e+00
+   8.2078e-02
+   2.1636e+01
+   5.2057e+01
+   2.5625e+01
+   9.7502e+00
+   3.6203e+01
+   4.6267e+00
+   3.1906e+00
+   9.5783e+00
+   6.3749e+00
+   3.6845e+00
+   5.7848e+00
+   8.2368e+00
+   6.8726e+00
+   4.1305e+01
+   1.9885e+00
+   7.5713e+00
+   1.2311e+00
+   5.0811e+00
+   2.1547e+01
+   3.0300e+01
+   4.5504e+01
+   9.0939e+00
+   1.0370e+01
+   7.1259e+00
+   1.4133e+01
+   2.6102e+01
+   5.0720e+00
+   1.2085e+01
+   7.1347e-01
+   6.7509e-01
+   4.0925e+00
+   7.4541e+00
+   1.8466e+02
+   1.0455e+01
+   7.4481e+00
+   6.2425e+00
+   8.8602e+00
+   3.9992e+01
+   6.8910e+00
+   5.1607e+00
+   1.5490e+01
+   5.5905e+00
+   2.7378e+01
+   1.0801e+01
+   2.3751e+01
+   1.1426e+01
+   8.4732e+00
+   6.8984e+00
+   3.4163e+00
+   2.0875e+02
+   1.2158e+01
+   3.5632e+00
+   4.1589e+00
+            0
+   1.8479e+00
+   8.4788e+00
+   1.2779e+00
+   3.5306e-02
+   7.0611e-02
+   3.5306e-02
+   3.0393e+00
+            0
+   4.2057e+00
+   3.0095e+01
+   2.0128e+01
+   5.7737e+00
+   3.1540e+01
+   1.4739e+02
+   1.8314e+01
+   3.2846e+01
+   1.4511e+01
+   1.9235e+01
+            0
+
+```
+
+```matlab 
+
+>> fprintf(' Results \n ')
+ Results
+ >> fprintf('%d  %f \n ',[XX(:,1),Res] ')
+197  92.541636
+ 198  73.432513
+ 199  5.885468
+ 200  35.300393
+ 201  70.208100
+ 202  28.096191
+ 203  87.136298
+ 204  79.776499
+ 205  36.243011
+ 206  18.249808
+ 207  49.666520
+ 208  45.067095
+ 209  81.785392
+ 210  5.555862
+ 211  105.361366
+ 212  4.575460
+ 213  381.204021
+ 214  26.712747
+ 216  8.037618
+ 217  119.627795
+ 218  10.061485
+ 219  63.762947
+ 220  9.087658
+ 221  41.684105
+ 222  35.907417
+ 223  76.139589
+ 224  23.752550
+ 225  142.216169
+ 226  67.755801
+ 227  20.597788
+ 228  76.818771
+ 229  104.284923
+ 230  18.541601
+ 231  4.473983
+ 232  3.580878
+ 233  224.758597
+ 234  26.863645
+ 235  212.911324
+ 236  50.921549
+ 237  33.628254
+ 238  42.168327
+ 239  103.701129
+ 240  136.060809
+ 241  713.711764
+ 242  34.027235
+ 245  4.102289
+ 246  27.086730
+ 247  2.667541
+ 248  2.497556
+ 252  103.829221
+ 253  7.460715
+ 256  34.755449
+ 257  4.359736
+ 258  5.741187
+ 259  15.989432
+ 261  45.399798
+ 264  2.462250
+ 267  6.424390
+ 268  66.503024
+ 273  73.935542
+ 275  11.130530
+ 296  3.684256
+ 304  9.970486
+ 305  28.031419
+ 311  1.352414
+ 318  40.905330
+ 322  11.722703
+ 325  30.793455
+ 326  42.716264
+ 329  10.023429
+ 330  32.260491
+ 334  25.495269
+ 335  36.870098
+ 336  42.948416
+ 339  87.963238
+ 340  228.668981
+ 341  99.146097
+ 342  28.749899
+ 343  9.622160
+ 346  1.359974
+ 347  54.213640
+ 348  107.547742
+ 349  116.106427
+ 352  299.102890
+ 356  14.333164
+ 357  20.479493
+ 362  144.908794
+ 365  14.952535
+ 366  25.976099
+ 371  268.149429
+ 372  12.353605
+ 373  4.526119
+ 376  104.664655
+ 377  91.264814
+ 379  209.329940
+ 381  196.452926
+ 383  4.812125
+ 387  1.387719
+ 388  50.732954
+ 389  118.633179
+ 391  212.528679
+ 392  37.744725
+ 393  30.102473
+ 394  320.669960
+ 395  0.000000
+ 399  41.450044
+ 410  141.123026
+ 412  405.347359
+ 413  12.875247
+ 414  117.612150
+ 441  8.989886
+ 446  74.655250
+ 448  89.566395
+ 451  37.992598
+ 456  40.599701
+ 465  37.339465
+ 466  142.928780
+ 467  9.122607
+ 472  53.463843
+ 476  93.289532
+ 477  57.155319
+ 484  19.139209
+ 1001  5.491474
+ 1002  85.213352
+ 1004  170.642969
+ 1017  90.453986
+ 1030  57.810669
+ 1034  7.372961
+ 1035  9.614944
+ 1037  1.846687
+ 1038  17.646937
+ 1039  153.910670
+ 1041  119.835954
+ 1044  5.010210
+ 1  2.691959
+ 2  379.300890
+ 3  13.497203
+ 4  2.462250
+ 6  19.718182
+ 7  200.667783
+ 8  93.618235
+ 9  25.650544
+ 10  26.344823
+ 11  65.285854
+ 12  21.514761
+ 13  176.510003
+ 14  1898.884523
+ 15  91.241365
+ 16  304.552394
+ 17  6.355976
+ 18  3.439437
+ 19  158.859588
+ 20  187.802059
+ 21  26.561371
+ 22  8.657907
+ 23  110.316703
+ 26  21.286647
+ 28  8.028500
+ 29  76.976887
+ 33  148.320170
+ 34  97.178361
+ 35  6.713123
+ 36  88.631285
+ 37  333.404629
+ 38  27.838269
+ 40  11.662869
+ 41  0.000000
+ 42  71.250154
+ 43  0.369757
+ 44  10.360736
+ 45  3.855089
+ 51  81.568715
+ 52  54.636552
+ 53  23.501931
+ 54  90.446620
+ 55  57.162095
+ 56  162.850196
+ 57  305.874565
+ 58  6.323299
+ 59  59.415851
+ 60  46.966205
+ 62  56.660855
+ 63  815.675312
+ 64  47.723188
+ 65  277.021471
+ 66  328.086215
+ 67  113.590454
+ 68  11.709047
+ 69  33.969900
+ 71  0.913379
+ 72  122.671912
+ 73  59.978744
+ 74  7.491057
+ 75  12.504248
+ 76  24.208529
+ 77  400.110964
+ 78  263.576362
+ 79  25.930889
+ 80  36.895259
+ 81  254.783774
+ 82  6.870138
+ 84  12.625935
+ 85  23.783568
+ 86  3.159890
+ 87  5.151827
+ 88  0.000000
+ 89  106.765711
+ 90  15.783445
+ 91  30.701284
+ 92  64.989933
+ 93  43.087958
+ 94  31.124285
+ 95  5.171761
+ 96  48.085148
+ 97  5.347890
+ 99  2.124571
+ 100  0.082078
+ 101  21.635603
+ 102  52.057076
+ 103  25.625192
+ 104  9.750228
+ 105  36.202865
+ 107  4.626653
+ 108  3.190574
+ 109  9.578291
+ 110  6.374896
+ 111  3.684453
+ 112  5.784829
+ 113  8.236760
+ 114  6.872598
+ 115  41.304826
+ 116  1.988474
+ 118  7.571316
+ 119  1.231125
+ 120  5.081094
+ 121  21.547440
+ 122  30.299927
+ 123  45.503740
+ 124  9.093912
+ 132  10.369658
+ 133  7.125935
+ 134  14.133228
+ 135  26.102416
+ 136  5.071976
+ 137  12.085286
+ 138  0.713469
+ 139  0.675086
+ 140  4.092547
+ 141  7.454102
+ 142  184.663991
+ 143  10.455368
+ 144  7.448129
+ 146  6.242521
+ 147  8.860180
+ 148  39.991951
+ 149  6.891026
+ 150  5.160709
+ 151  15.489599
+ 152  5.590467
+ 153  27.378151
+ 154  10.801195
+ 162  23.750968
+ 166  11.426264
+ 167  8.473236
+ 168  6.898371
+ 170  3.416283
+ 171  208.746883
+ 172  12.158394
+ 173  3.563165
+ 174  4.158866
+ 175  0.000000
+ 176  1.847873
+ 177  8.478820
+ 178  1.277897
+ 179  0.035306
+ 180  0.070611
+ 181  0.035306
+ 182  3.039279
+ 183  0.000000
+ 184  4.205715
+ 185  30.094936
+ 186  20.128055
+ 187  5.773718
+ 188  31.539990
+ 189  147.387148
+ 190  18.314164
+ 191  32.846011
+ 192  14.511067
+ 193  19.235467
+ 194  0.000000
+
+```
+
+Сохранил вектор оценок результативности в отдельном бинарном (mat) файле:
+
+```matlab
+
+>> save res.mat Res -mat
+
+```
+
+Представил распределение оценок результативности в виде гистограммы с 20 интервалами  и с обозначением осей:
+
+```matlab
+
+>> hist(Res,20)
+>> xlabel('Results ')
+>> ylabel('Number of Unis ')
+
+```
+
+![Распределение оценок результативности](photos/figure1.PNG)
+
+Сохранил изображение гистограммы в файле формата jpg
+
+```matlab
+
+>> saveas(gcf, 'Hist.jpg ', 'jpg ')
+DEBUG: FC_WEIGHT didn't match
+
+```
+
+
+Рассчитал и отобразил оценку корреляции обобщенной результативности с финансированием, выделенным на проведение НИР:
+
+```matlab
+
+>> CorFin=corr(Res,XX(:,2))
+CorFin = 0.8437
+>> fprintf('Correlation of Results and Money = %f \n',CorFin)
+Correlation of Results and Money = 0.843710
+
+```
+
+## 3 
\ No newline at end of file
diff --git a/ТЕМА2/res.mat b/ТЕМА2/res.mat
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