This document contains temperature and absorption data for multiple reactor measurements. It includes the variables X and Y, their squares, and their product XY. It then calculates the linear regression coefficients a0, a1, and Syx. It finds the standard correlation SCx, SCy, and SCxy and correlation coefficient r and r^2. It concludes that there is a good correlation between variables X and Y.

1. datos reactor tempertura X absorcion Y X^2 y^2 XY
1 1 49.81 64 2481.0361 4096 3187.84
2 1 52.2 66.4 2724.84 4408.96 3466.08
3 1 52.48 65.6 2754.1504 4303.36 3442.688 a0= 36.3204798
4 1 53.62 66.1 2875.1044 4369.21 3544.282 a1= 0.56939292
5 1 53.66 67.5 2879.3956 4556.25 3622.05 SyIx= 1.9344917
6 1 54.72 68.7 2994.2784 4719.69 3759.264
7 1 55.34 69.3 3062.5156 4802.49 3835.062
8 2 55.58 67.8 3089.1364 4596.84 3768.324
9 2 55.63 70.2 3094.6969 4928.04 3905.226
10 2 55.78 62.4 3111.4084 3893.76 3480.672
11 2 56.73 66.1 3218.2929 4369.21 3749.853
12 1 57.25 70.9 3277.5625 5026.81 4059.025
13 2 57.51 68.5 3307.4001 4692.25 3939.435
14 2 57.86 72.5 3347.7796 5256.25 4194.85
15 2 57.94 69.8 3357.0436 4872.04 4044.212
16 2 58.49 72.4 3421.0801 5241.76 4234.676
17 2 59.54 68.2 3545.0116 4651.24 4060.628
18 2 59.61 66.9 3553.3521 4475.61 3987.909
19 1 69.86 74 4880.4196 5476 5169.64
20 2 60.45 70.4 3654.2025 4956.16 4255.68
21 2 62.57 68.7 3915.0049 4719.69 4298.559
22 2 62.62 71.3 3921.2644 5083.69 4464.806
23 2 62.81 76.6 3945.0961 5867.56 4811.246
24 1 63.29 76.2 4005.6241 5806.44 4822.698
1385.35 1660.5 80415.6963 115169.31 96104.705
SCx= 449.2537
SCy= 283.466
SCxy= 255.8019
r= 0.7168156
r^2= 0.5138246 51%
existe una buena correlacion entre
las variables x,y.
Error
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