Multiple Linear Regression - Estimated Regression Equation |
promedio[t] = + 3.32364 + 0.19162vocabulario[t] -0.194239memoria[t] + 0.00126058t + e[t] |
Warning: you did not specify the column number of the endogenous series! The first column was selected by default. |
Multiple Linear Regression - Ordinary Least Squares | |||||
Variable | Parameter | S.D. | T-STAT H0: parameter = 0 | 2-tail p-value | 1-tail p-value |
(Intercept) | +3.324 | 0.5845 | +5.6860e+00 | 9.861e-08 | 4.931e-08 |
vocabulario | +0.1916 | 0.01256 | +1.5260e+01 | 1.685e-29 | 8.426e-30 |
memoria | -0.1942 | 0.104 | -1.8670e+00 | 0.06438 | 0.03219 |
t | +0.001261 | 0.002922 | +4.3140e-01 | 0.667 | 0.3335 |
Multiple Linear Regression - Regression Statistics | |
Multiple R | 0.8496 |
R-squared | 0.7217 |
Adjusted R-squared | 0.7146 |
F-TEST (value) | 100.3 |
F-TEST (DF numerator) | 3 |
F-TEST (DF denominator) | 116 |
p-value | 0 |
Multiple Linear Regression - Residual Statistics | |
Residual Standard Deviation | 1.07 |
Sum Squared Residuals | 132.9 |
Multiple Linear Regression - Actuals, Interpolation, and Residuals | |||
Time or Index | Actuals | Interpolation Forecast | Residuals Prediction Error |
1 | 8.7 | 9.63 | -0.93 |
2 | 10 | 9.251 | 0.7493 |
3 | 7.7 | 8.102 | -0.4022 |
4 | 8 | 9.248 | -1.248 |
5 | 8.3 | 7.53 | 0.7701 |
6 | 7.7 | 6.762 | 0.938 |
7 | 6.7 | 7.343 | -0.6434 |
8 | 7.3 | 7.725 | -0.4253 |
9 | 6 | 6.38 | -0.3799 |
10 | 7 | 7.347 | -0.3472 |
11 | 8.3 | 8.118 | 0.1825 |
12 | 8 | 7.344 | 0.6556 |
13 | 8 | 7.732 | 0.2684 |
14 | 6 | 5.819 | 0.1808 |
15 | 5.7 | 5.051 | 0.6486 |
16 | 4 | 4.089 | -0.08933 |
17 | 6.7 | 5.437 | 1.263 |
18 | 5 | 3.908 | 1.092 |
19 | 4.3 | 4.101 | 0.199 |
20 | 3 | 3.908 | -0.908 |
21 | 8 | 8.122 | -0.1223 |
22 | 9.3 | 8.885 | 0.4152 |
23 | 7.3 | 7.361 | -0.06093 |
24 | 7.7 | 7.36 | 0.3404 |
25 | 7.7 | 6.786 | 0.914 |
26 | 7.7 | 7.17 | 0.5295 |
27 | 6 | 4.683 | 1.317 |
28 | 6 | 5.07 | 0.9296 |
29 | 3.5 | 4.114 | -0.6136 |
30 | 5.3 | 4.117 | 1.183 |
31 | 8.7 | 8.901 | -0.2014 |
32 | 9.3 | 9.283 | 0.01676 |
33 | 7.3 | 8.904 | -1.604 |
34 | 8 | 7.758 | 0.242 |
35 | 7 | 7.373 | -0.3734 |
36 | 7 | 6.417 | 0.5834 |
37 | 7 | 7.376 | -0.376 |
38 | 8 | 7.574 | 0.4259 |
39 | 7.3 | 7.378 | -0.07848 |
40 | 5.7 | 6.033 | -0.3332 |
41 | 7.7 | 6.809 | 0.8912 |
42 | 5.7 | 4.894 | 0.8062 |
43 | 4.7 | 4.898 | -0.1977 |
44 | 6 | 5.663 | 0.3372 |
45 | 6.3 | 6.05 | 0.2501 |
46 | 4.3 | 4.516 | -0.2156 |
47 | 3 | 4.709 | -1.709 |
48 | 3 | 4.712 | -1.712 |
49 | 5.3 | 5.092 | 0.2083 |
50 | 8.7 | 5.285 | 3.415 |
51 | 4.7 | 5.097 | -0.3968 |
52 | 3 | 4.145 | -1.145 |
53 | 3 | 3.755 | -0.7554 |
54 | 4 | 4.15 | -0.1503 |
55 | 8.3 | 7.399 | 0.9013 |
56 | 4.5 | 5.1 | -0.6005 |
57 | 7 | 5.679 | 1.321 |
58 | 6 | 5.486 | 0.5138 |
59 | 5.3 | 4.346 | 0.9544 |
60 | 1 | 3.192 | -2.192 |
61 | 8 | 9.123 | -1.123 |
62 | 8.3 | 8.938 | -0.6378 |
63 | 7.7 | 8.558 | -0.8585 |
64 | 8.7 | 8.749 | -0.04872 |
65 | 6.3 | 8.369 | -2.069 |
66 | 7.7 | 6.838 | 0.8623 |
67 | 9.7 | 7.8 | 1.9 |
68 | 5.7 | 6.84 | -1.14 |
69 | 7 | 7.422 | -0.4215 |
70 | 7.3 | 7.612 | -0.3118 |
71 | 5 | 6.075 | -1.075 |
72 | 6 | 5.701 | 0.2993 |
73 | 3 | 4.93 | -1.93 |
74 | 3 | 4.548 | -1.548 |
75 | 5.7 | 5.508 | 0.1923 |
76 | 6 | 5.895 | 0.1052 |
77 | 4 | 5.13 | -1.13 |
78 | 4.7 | 5.322 | -0.6224 |
79 | 1 | 4.749 | -3.749 |
80 | 6 | 5.514 | 0.486 |
81 | 3 | 3.218 | -0.2184 |
82 | 5 | 3.986 | 1.014 |
83 | 2 | 3.41 | -1.41 |
84 | 8 | 8.007 | -0.007452 |
85 | 6.3 | 5.904 | 0.3965 |
86 | 7 | 5.713 | 1.287 |
87 | 3 | 4.759 | -1.759 |
88 | 5 | 5.527 | -0.5267 |
89 | 5 | 5.531 | -0.5306 |
90 | 3 | 3.999 | -0.9989 |
91 | 9.7 | 9.355 | 0.345 |
92 | 8.7 | 9.55 | -0.8505 |
93 | 8 | 9.365 | -1.365 |
94 | 7.3 | 7.065 | 0.2354 |
95 | 9 | 7.449 | 1.551 |
96 | 7.7 | 7.067 | 0.6329 |
97 | 7 | 6.11 | 0.8897 |
98 | 8.3 | 8.033 | 0.267 |
99 | 7.3 | 7.074 | 0.2265 |
100 | 6 | 5.35 | 0.6498 |
101 | 6.3 | 5.349 | 0.9512 |
102 | 9 | 4.775 | 4.225 |
103 | 6.3 | 5.543 | 0.757 |
104 | 4.7 | 4.208 | 0.4919 |
105 | 4 | 3.438 | 0.5623 |
106 | 8.7 | 9.188 | -0.4875 |
107 | 8 | 7.847 | 0.1526 |
108 | 7 | 5.933 | 1.067 |
109 | 7.7 | 6.894 | 0.8055 |
110 | 7.3 | 7.66 | -0.3596 |
111 | 8.3 | 7.472 | 0.8281 |
112 | 6.3 | 6.898 | -0.5983 |
113 | 8 | 7.472 | 0.5282 |
114 | 4.5 | 4.985 | -0.4846 |
115 | 5.3 | 5.369 | -0.06909 |
116 | 7.7 | 5.751 | 1.949 |
117 | 4.7 | 5.18 | -0.48 |
118 | 5.3 | 5.184 | 0.1161 |
119 | 3.3 | 3.841 | -0.5412 |
120 | 2 | 3.653 | -1.653 |
Goldfeld-Quandt test for Heteroskedasticity | |||
p-values | Alternative Hypothesis | ||
breakpoint index | greater | 2-sided | less |
7 | 0.4853 | 0.9706 | 0.5147 |
8 | 0.3356 | 0.6713 | 0.6644 |
9 | 0.2161 | 0.4322 | 0.7839 |
10 | 0.1336 | 0.2671 | 0.8664 |
11 | 0.1184 | 0.2369 | 0.8816 |
12 | 0.1498 | 0.2996 | 0.8502 |
13 | 0.09984 | 0.1997 | 0.9002 |
14 | 0.06351 | 0.127 | 0.9365 |
15 | 0.03734 | 0.07469 | 0.9627 |
16 | 0.02508 | 0.05017 | 0.9749 |
17 | 0.02536 | 0.05073 | 0.9746 |
18 | 0.01532 | 0.03063 | 0.9847 |
19 | 0.01185 | 0.0237 | 0.9882 |
20 | 0.02747 | 0.05493 | 0.9725 |
21 | 0.01662 | 0.03323 | 0.9834 |
22 | 0.01251 | 0.02502 | 0.9875 |
23 | 0.00782 | 0.01564 | 0.9922 |
24 | 0.004528 | 0.009055 | 0.9955 |
25 | 0.003432 | 0.006863 | 0.9966 |
26 | 0.001959 | 0.003919 | 0.998 |
27 | 0.001724 | 0.003447 | 0.9983 |
28 | 0.00104 | 0.002081 | 0.999 |
29 | 0.002276 | 0.004551 | 0.9977 |
30 | 0.001738 | 0.003475 | 0.9983 |
31 | 0.001234 | 0.002467 | 0.9988 |
32 | 0.0007014 | 0.001403 | 0.9993 |
33 | 0.002764 | 0.005527 | 0.9972 |
34 | 0.001676 | 0.003351 | 0.9983 |
35 | 0.001109 | 0.002219 | 0.9989 |
36 | 0.000731 | 0.001462 | 0.9993 |
37 | 0.0004729 | 0.0009459 | 0.9995 |
38 | 0.0002896 | 0.0005791 | 0.9997 |
39 | 0.0001618 | 0.0003235 | 0.9998 |
40 | 9.789e-05 | 0.0001958 | 0.9999 |
41 | 8.34e-05 | 0.0001668 | 0.9999 |
42 | 5.573e-05 | 0.0001115 | 0.9999 |
43 | 4.616e-05 | 9.233e-05 | 1 |
44 | 2.616e-05 | 5.232e-05 | 1 |
45 | 1.493e-05 | 2.986e-05 | 1 |
46 | 1.086e-05 | 2.172e-05 | 1 |
47 | 9.837e-05 | 0.0001967 | 0.9999 |
48 | 0.0004186 | 0.0008373 | 0.9996 |
49 | 0.0002625 | 0.0005249 | 0.9997 |
50 | 0.03146 | 0.06292 | 0.9685 |
51 | 0.02503 | 0.05007 | 0.975 |
52 | 0.02729 | 0.05457 | 0.9727 |
53 | 0.0243 | 0.0486 | 0.9757 |
54 | 0.01799 | 0.03598 | 0.982 |
55 | 0.01952 | 0.03904 | 0.9805 |
56 | 0.01535 | 0.0307 | 0.9846 |
57 | 0.02374 | 0.04748 | 0.9763 |
58 | 0.02073 | 0.04146 | 0.9793 |
59 | 0.02799 | 0.05597 | 0.972 |
60 | 0.06254 | 0.1251 | 0.9375 |
61 | 0.06091 | 0.1218 | 0.9391 |
62 | 0.04778 | 0.09557 | 0.9522 |
63 | 0.03826 | 0.07653 | 0.9617 |
64 | 0.0289 | 0.0578 | 0.9711 |
65 | 0.04697 | 0.09395 | 0.953 |
66 | 0.05125 | 0.1025 | 0.9488 |
67 | 0.1405 | 0.2809 | 0.8595 |
68 | 0.1283 | 0.2567 | 0.8717 |
69 | 0.1087 | 0.2175 | 0.8913 |
70 | 0.089 | 0.178 | 0.911 |
71 | 0.08268 | 0.1654 | 0.9173 |
72 | 0.09015 | 0.1803 | 0.9099 |
73 | 0.1257 | 0.2514 | 0.8743 |
74 | 0.1428 | 0.2857 | 0.8572 |
75 | 0.1197 | 0.2393 | 0.8803 |
76 | 0.1056 | 0.2112 | 0.8944 |
77 | 0.09026 | 0.1805 | 0.9097 |
78 | 0.07016 | 0.1403 | 0.9298 |
79 | 0.4303 | 0.8606 | 0.5697 |
80 | 0.3982 | 0.7964 | 0.6018 |
81 | 0.3469 | 0.6937 | 0.6531 |
82 | 0.3716 | 0.7432 | 0.6284 |
83 | 0.4772 | 0.9545 | 0.5228 |
84 | 0.4447 | 0.8895 | 0.5553 |
85 | 0.4011 | 0.8022 | 0.5989 |
86 | 0.4134 | 0.8269 | 0.5866 |
87 | 0.543 | 0.9139 | 0.457 |
88 | 0.5119 | 0.9763 | 0.4881 |
89 | 0.4555 | 0.9111 | 0.5445 |
90 | 0.513 | 0.974 | 0.487 |
91 | 0.4921 | 0.9841 | 0.5079 |
92 | 0.5864 | 0.8271 | 0.4136 |
93 | 0.6462 | 0.7075 | 0.3538 |
94 | 0.6572 | 0.6856 | 0.3428 |
95 | 0.6454 | 0.7092 | 0.3546 |
96 | 0.6181 | 0.7638 | 0.3819 |
97 | 0.5931 | 0.8138 | 0.4069 |
98 | 0.531 | 0.9381 | 0.469 |
99 | 0.4705 | 0.9409 | 0.5295 |
100 | 0.4148 | 0.8296 | 0.5852 |
101 | 0.3874 | 0.7749 | 0.6126 |
102 | 0.9232 | 0.1537 | 0.07684 |
103 | 0.8873 | 0.2254 | 0.1127 |
104 | 0.8658 | 0.2684 | 0.1342 |
105 | 0.8081 | 0.3837 | 0.1919 |
106 | 0.8247 | 0.3507 | 0.1753 |
107 | 0.7868 | 0.4264 | 0.2132 |
108 | 0.7313 | 0.5373 | 0.2687 |
109 | 0.7716 | 0.4568 | 0.2284 |
110 | 0.7884 | 0.4233 | 0.2116 |
111 | 0.7631 | 0.4738 | 0.2369 |
112 | 0.6539 | 0.6922 | 0.3461 |
113 | 0.8303 | 0.3394 | 0.1697 |
Meta Analysis of Goldfeld-Quandt test for Heteroskedasticity | |||
Description | # significant tests | % significant tests | OK/NOK |
1% type I error level | 26 | 0.243 | NOK |
5% type I error level | 37 | 0.345794 | NOK |
10% type I error level | 49 | 0.457944 | NOK |