Multiple Linear Regression - Estimated Regression Equation |
Accidents[t] = + 617.467 -134.365Belt[t] + 0.640148A1[t] + e[t] |
Multiple Linear Regression - Ordinary Least Squares | |||||
Variable | Parameter | S.D. | T-STAT H0: parameter = 0 | 2-tail p-value | 1-tail p-value |
(Intercept) | 617.467 | 98.9522 | 6.24 | 2.83226e-09 | 1.41613e-09 |
Belt | -134.365 | 50.5694 | -2.657 | 0.00856098 | 0.00428049 |
A1 | 0.640148 | 0.0568428 | 11.26 | 8.13815e-23 | 4.06907e-23 |
Multiple Linear Regression - Regression Statistics | |
Multiple R | 0.721973 |
R-squared | 0.521245 |
Adjusted R-squared | 0.516152 |
F-TEST (value) | 102.343 |
F-TEST (DF numerator) | 2 |
F-TEST (DF denominator) | 188 |
p-value | 0 |
Multiple Linear Regression - Residual Statistics | |
Residual Standard Deviation | 201.979 |
Sum Squared Residuals | 7669540 |
Multiple Linear Regression - Actuals, Interpolation, and Residuals | |||
Time or Index | Actuals | Interpolation Forecast | Residuals Prediction Error |
1 | 1687 | 1876.4 | -189.396 |
2 | 1508 | 1583.81 | -75.81 |
3 | 1507 | 1704.17 | -197.17 |
4 | 1385 | 1257.07 | 127.928 |
5 | 1632 | 1783.19 | -151.188 |
6 | 1511 | 1536.73 | -25.7304 |
7 | 1559 | 1544.46 | 14.5425 |
8 | 1630 | 1711.91 | -81.908 |
9 | 1579 | 1554.26 | 24.7395 |
10 | 1653 | 1176.63 | 476.369 |
11 | 2152 | 1999.07 | 152.935 |
12 | 2148 | 2388.5 | -240.505 |
13 | 1752 | 1726.01 | 25.9939 |
14 | 1765 | 1795.33 | -30.328 |
15 | 1717 | 1875.6 | -158.601 |
16 | 1558 | 1597.82 | -39.8174 |
17 | 1575 | 1680.7 | -105.7 |
18 | 1520 | 1305.49 | 214.508 |
19 | 1805 | 1777.93 | 27.0661 |
20 | 1800 | 1850.73 | -50.7331 |
21 | 1719 | 1428.88 | 290.119 |
22 | 2008 | 1668.88 | 339.116 |
23 | 2242 | 1816.68 | 425.322 |
24 | 2478 | 2651.75 | -173.753 |
25 | 2030 | 2291.97 | -261.967 |
26 | 1655 | 1638.91 | 16.0883 |
27 | 1693 | 1771.24 | -78.2373 |
28 | 1623 | 1474.43 | 148.573 |
29 | 1805 | 1831.93 | -26.9339 |
30 | 1746 | 1686.17 | 59.8348 |
31 | 1795 | 1635.53 | 159.468 |
32 | 1926 | 2157.39 | -231.392 |
33 | 1619 | 1280.87 | 338.134 |
34 | 1992 | 1651.64 | 340.358 |
35 | 2233 | 2087.92 | 145.083 |
36 | 2192 | 2132.67 | 59.3289 |
37 | 2080 | 2260.97 | -180.975 |
38 | 1768 | 1682.25 | 85.7516 |
39 | 1835 | 2058.14 | -223.138 |
40 | 1569 | 1214.86 | 354.141 |
41 | 1976 | 2005.4 | -29.3991 |
42 | 1853 | 1691.66 | 161.339 |
43 | 1965 | 2151.36 | -186.358 |
44 | 1689 | 1609.68 | 79.3233 |
45 | 1778 | 1557.65 | 220.35 |
46 | 1976 | 1461.4 | 514.601 |
47 | 2397 | 1894.9 | 502.099 |
48 | 2654 | 2873.42 | -219.419 |
49 | 2097 | 2093.86 | 3.14298 |
50 | 1963 | 2160.08 | -197.077 |
51 | 1677 | 1426.99 | 250.005 |
52 | 1941 | 1797.99 | 143.006 |
53 | 2003 | 2089.68 | -86.6831 |
54 | 1813 | 1579.06 | 233.945 |
55 | 2012 | 2005.44 | 6.55554 |
56 | 1912 | 1669.43 | 242.57 |
57 | 2084 | 1955.54 | 128.465 |
58 | 2080 | 1910.97 | 169.025 |
59 | 2118 | 1941.3 | 176.7 |
60 | 2150 | 2535.78 | -385.785 |
61 | 1608 | 1751.82 | -143.825 |
62 | 1503 | 1534.61 | -31.6093 |
63 | 1548 | 1774.42 | -226.416 |
64 | 1382 | 1153.15 | 228.849 |
65 | 1731 | 1658.56 | 72.437 |
66 | 1798 | 1787.45 | 10.5472 |
67 | 1779 | 1648.29 | 130.71 |
68 | 1887 | 1708.43 | 178.574 |
69 | 2004 | 1827.32 | 176.677 |
70 | 2077 | 1932.05 | 144.946 |
71 | 2092 | 1997.66 | 94.3437 |
72 | 2051 | 2404.41 | -353.41 |
73 | 1577 | 1847.98 | -270.98 |
74 | 1356 | 1189.51 | 166.492 |
75 | 1652 | 1944.99 | -292.991 |
76 | 1382 | 1365.15 | 16.8486 |
77 | 1519 | 1687.85 | -168.852 |
78 | 1421 | 1506.12 | -85.1172 |
79 | 1442 | 1439.56 | 2.43974 |
80 | 1543 | 1492.22 | 50.7848 |
81 | 1656 | 1772.55 | -116.552 |
82 | 1561 | 1272.74 | 288.262 |
83 | 1905 | 1542.95 | 362.051 |
84 | 2199 | 2751.15 | -552.152 |
85 | 1473 | 1378.4 | 94.5952 |
86 | 1655 | 1924.91 | -269.912 |
87 | 1407 | 1530.16 | -123.155 |
88 | 1395 | 1375.47 | 19.5267 |
89 | 1530 | 1817.89 | -287.893 |
90 | 1309 | 1238.42 | 70.5794 |
91 | 1526 | 1793.33 | -267.333 |
92 | 1327 | 1166.94 | 160.057 |
93 | 1627 | 1537.99 | 89.0124 |
94 | 1748 | 1526.45 | 221.555 |
95 | 1958 | 1554.88 | 403.124 |
96 | 2274 | 2699.16 | -425.163 |
97 | 1648 | 1919.43 | -271.431 |
98 | 1401 | 1504.31 | -103.314 |
99 | 1411 | 1528.72 | -117.716 |
100 | 1403 | 1524.59 | -121.594 |
101 | 1394 | 1383.83 | 10.1668 |
102 | 1520 | 1582.49 | -62.4918 |
103 | 1528 | 1480.61 | 47.387 |
104 | 1643 | 1797.23 | -154.23 |
105 | 1515 | 1417.29 | 97.709 |
106 | 1685 | 1381.12 | 303.884 |
107 | 2000 | 1682.76 | 317.237 |
108 | 2215 | 2294.39 | -79.3945 |
109 | 1956 | 2363.6 | -407.596 |
110 | 1462 | 1452.36 | 9.63679 |
111 | 1563 | 1722.02 | -159.018 |
112 | 1459 | 1564.44 | -105.443 |
113 | 1446 | 1367.12 | 78.8792 |
114 | 1622 | 1620.79 | 1.21315 |
115 | 1657 | 1697.19 | -40.192 |
116 | 1638 | 1661.03 | -23.0292 |
117 | 1643 | 1629.23 | 13.77 |
118 | 1683 | 1327.84 | 355.164 |
119 | 2050 | 1717.77 | 332.23 |
120 | 2262 | 2514.48 | -252.481 |
121 | 1813 | 2146.06 | -333.055 |
122 | 1445 | 1225.48 | 219.519 |
123 | 1762 | 2046.41 | -284.408 |
124 | 1461 | 1457.72 | 3.27694 |
125 | 1556 | 1738.54 | -182.537 |
126 | 1431 | 1537.52 | -106.519 |
127 | 1427 | 1403.96 | 23.042 |
128 | 1554 | 1521.26 | 32.7432 |
129 | 1645 | 1662.51 | -17.5102 |
130 | 1653 | 1312.63 | 340.369 |
131 | 2016 | 1717.01 | 298.995 |
132 | 2207 | 2572.27 | -365.273 |
133 | 1665 | 1987.31 | -322.313 |
134 | 1361 | 1343.71 | 17.2917 |
135 | 1506 | 1727.53 | -221.53 |
136 | 1360 | 1395.07 | -35.0681 |
137 | 1453 | 1478.6 | -25.6019 |
138 | 1522 | 1653.77 | -131.772 |
139 | 1460 | 1460.08 | -0.0829152 |
140 | 1552 | 1614.98 | -62.9765 |
141 | 1548 | 1329.42 | 218.584 |
142 | 1827 | 1877.02 | -50.0171 |
143 | 1737 | 1525.4 | 211.596 |
144 | 1941 | 2326.99 | -385.994 |
145 | 1474 | 1577.04 | -103.045 |
146 | 1458 | 1466.8 | -8.80262 |
147 | 1542 | 1742.58 | -200.575 |
148 | 1404 | 1398.23 | 5.76536 |
149 | 1522 | 1728.77 | -206.772 |
150 | 1385 | 1248.07 | 136.928 |
151 | 1641 | 1798.95 | -157.95 |
152 | 1510 | 1413.09 | 96.9097 |
153 | 1681 | 1436.56 | 244.444 |
154 | 1938 | 1928.07 | 9.92647 |
155 | 1868 | 1955.26 | -87.2632 |
156 | 1726 | 1992.36 | -266.362 |
157 | 1456 | 1560.52 | -104.522 |
158 | 1445 | 1531.48 | -86.4807 |
159 | 1456 | 1640.52 | -184.522 |
160 | 1365 | 1369.27 | -4.26888 |
161 | 1487 | 1498.37 | -11.3669 |
162 | 1558 | 1684.82 | -126.817 |
163 | 1488 | 1374.01 | 113.993 |
164 | 1684 | 1785.48 | -101.476 |
165 | 1594 | 1381.86 | 212.137 |
166 | 1850 | 1653.74 | 196.259 |
167 | 1998 | 1815.48 | 182.518 |
168 | 2079 | 2533.33 | -454.334 |
169 | 1494 | 1876.48 | -382.483 |
170 | 1057 | 998.738 | 58.2617 |
171 | 1218 | 1312.8 | -94.8021 |
172 | 1168 | 1162.79 | 5.20533 |
173 | 1236 | 1434.32 | -198.325 |
174 | 1076 | 1073.9 | 2.09892 |
175 | 1174 | 1269.64 | -95.6356 |
176 | 1139 | 924.23 | 214.77 |
177 | 1427 | 1336.59 | 90.4071 |
178 | 1487 | 1439 | 47.9982 |
179 | 1483 | 1402.44 | 80.5588 |
180 | 1513 | 1607.65 | -94.6456 |
181 | 1357 | 1543.78 | -186.783 |
182 | 1165 | 1111.87 | 53.1258 |
183 | 1282 | 1475.77 | -193.772 |
184 | 1110 | 1006.67 | 103.334 |
185 | 1297 | 1425.37 | -128.374 |
186 | 1185 | 1204.68 | -19.6772 |
187 | 1222 | 1203.36 | 18.6373 |
188 | 1284 | 1145.05 | 138.948 |
189 | 1444 | 1276.48 | 167.525 |
190 | 1575 | 1329.33 | 245.665 |
191 | 1737 | 1569.04 | 167.961 |
192 | 1763 | NA | NA |
Goldfeld-Quandt test for Heteroskedasticity | |||
p-values | Alternative Hypothesis | ||
breakpoint index | greater | 2-sided | less |
6 | 0.121145 | 0.242291 | 0.878855 |
7 | 0.0846512 | 0.169302 | 0.915349 |
8 | 0.0413509 | 0.0827017 | 0.958649 |
9 | 0.030572 | 0.0611439 | 0.969428 |
10 | 0.712108 | 0.575783 | 0.287892 |
11 | 0.628821 | 0.742358 | 0.371179 |
12 | 0.681217 | 0.637566 | 0.318783 |
13 | 0.595406 | 0.809189 | 0.404594 |
14 | 0.504732 | 0.990536 | 0.495268 |
15 | 0.45837 | 0.916741 | 0.54163 |
16 | 0.375562 | 0.751124 | 0.624438 |
17 | 0.313226 | 0.626451 | 0.686774 |
18 | 0.336488 | 0.672977 | 0.663512 |
19 | 0.272262 | 0.544523 | 0.727738 |
20 | 0.213302 | 0.426605 | 0.786698 |
21 | 0.296875 | 0.59375 | 0.703125 |
22 | 0.415403 | 0.830806 | 0.584597 |
23 | 0.526961 | 0.946078 | 0.473039 |
24 | 0.601074 | 0.797852 | 0.398926 |
25 | 0.658618 | 0.682764 | 0.341382 |
26 | 0.598492 | 0.803016 | 0.401508 |
27 | 0.547772 | 0.904455 | 0.452228 |
28 | 0.514969 | 0.970061 | 0.485031 |
29 | 0.456361 | 0.912722 | 0.543639 |
30 | 0.400374 | 0.800747 | 0.599626 |
31 | 0.372688 | 0.745375 | 0.627312 |
32 | 0.400458 | 0.800916 | 0.599542 |
33 | 0.487806 | 0.975612 | 0.512194 |
34 | 0.56983 | 0.86034 | 0.43017 |
35 | 0.531489 | 0.937022 | 0.468511 |
36 | 0.477926 | 0.955852 | 0.522074 |
37 | 0.482564 | 0.965128 | 0.517436 |
38 | 0.434418 | 0.868837 | 0.565582 |
39 | 0.458521 | 0.917042 | 0.541479 |
40 | 0.54489 | 0.91022 | 0.45511 |
41 | 0.496225 | 0.992449 | 0.503775 |
42 | 0.469204 | 0.938408 | 0.530796 |
43 | 0.470245 | 0.940489 | 0.529755 |
44 | 0.42405 | 0.848099 | 0.57595 |
45 | 0.422043 | 0.844085 | 0.577957 |
46 | 0.657712 | 0.684576 | 0.342288 |
47 | 0.817037 | 0.365926 | 0.182963 |
48 | 0.839119 | 0.321763 | 0.160881 |
49 | 0.80979 | 0.380421 | 0.19021 |
50 | 0.814793 | 0.370414 | 0.185207 |
51 | 0.820522 | 0.358956 | 0.179478 |
52 | 0.800669 | 0.398661 | 0.199331 |
53 | 0.777192 | 0.445616 | 0.222808 |
54 | 0.779676 | 0.440648 | 0.220324 |
55 | 0.745594 | 0.508813 | 0.254406 |
56 | 0.753451 | 0.493098 | 0.246549 |
57 | 0.730011 | 0.539979 | 0.269989 |
58 | 0.71648 | 0.567039 | 0.28352 |
59 | 0.706687 | 0.586626 | 0.293313 |
60 | 0.806314 | 0.387372 | 0.193686 |
61 | 0.798089 | 0.403822 | 0.201911 |
62 | 0.769045 | 0.461911 | 0.230955 |
63 | 0.785737 | 0.428526 | 0.214263 |
64 | 0.785917 | 0.428167 | 0.214083 |
65 | 0.756376 | 0.487248 | 0.243624 |
66 | 0.722256 | 0.555488 | 0.277744 |
67 | 0.698886 | 0.602227 | 0.301114 |
68 | 0.689661 | 0.620679 | 0.310339 |
69 | 0.682748 | 0.634504 | 0.317252 |
70 | 0.668851 | 0.662298 | 0.331149 |
71 | 0.644131 | 0.711739 | 0.355869 |
72 | 0.724711 | 0.550578 | 0.275289 |
73 | 0.761249 | 0.477501 | 0.238751 |
74 | 0.744558 | 0.510884 | 0.255442 |
75 | 0.786328 | 0.427345 | 0.213672 |
76 | 0.754412 | 0.491175 | 0.245588 |
77 | 0.748069 | 0.503862 | 0.251931 |
78 | 0.72168 | 0.55664 | 0.27832 |
79 | 0.685368 | 0.629264 | 0.314632 |
80 | 0.649317 | 0.701365 | 0.350683 |
81 | 0.62432 | 0.75136 | 0.37568 |
82 | 0.663243 | 0.673514 | 0.336757 |
83 | 0.753225 | 0.49355 | 0.246775 |
84 | 0.904102 | 0.191796 | 0.0958981 |
85 | 0.88912 | 0.221761 | 0.11088 |
86 | 0.904144 | 0.191712 | 0.0958562 |
87 | 0.893689 | 0.212623 | 0.106311 |
88 | 0.873512 | 0.252977 | 0.126488 |
89 | 0.894969 | 0.210061 | 0.105031 |
90 | 0.876762 | 0.246475 | 0.123238 |
91 | 0.892078 | 0.215845 | 0.107922 |
92 | 0.88371 | 0.23258 | 0.11629 |
93 | 0.86722 | 0.26556 | 0.13278 |
94 | 0.874874 | 0.250251 | 0.125126 |
95 | 0.936604 | 0.126791 | 0.0633957 |
96 | 0.965324 | 0.0693514 | 0.0346757 |
97 | 0.97085 | 0.0583008 | 0.0291504 |
98 | 0.965444 | 0.0691126 | 0.0345563 |
99 | 0.959919 | 0.0801627 | 0.0400814 |
100 | 0.953935 | 0.0921307 | 0.0460654 |
101 | 0.942898 | 0.114205 | 0.0571024 |
102 | 0.931055 | 0.13789 | 0.0689448 |
103 | 0.917165 | 0.165669 | 0.0828346 |
104 | 0.909263 | 0.181473 | 0.0907366 |
105 | 0.89598 | 0.208039 | 0.10402 |
106 | 0.92251 | 0.154979 | 0.0774896 |
107 | 0.951181 | 0.0976384 | 0.0488192 |
108 | 0.940886 | 0.118228 | 0.059114 |
109 | 0.966752 | 0.0664956 | 0.0332478 |
110 | 0.958138 | 0.0837231 | 0.0418615 |
111 | 0.953775 | 0.0924501 | 0.0462251 |
112 | 0.945537 | 0.108927 | 0.0544633 |
113 | 0.935118 | 0.129764 | 0.064882 |
114 | 0.920595 | 0.158809 | 0.0794047 |
115 | 0.903846 | 0.192309 | 0.0961543 |
116 | 0.884316 | 0.231369 | 0.115684 |
117 | 0.862638 | 0.274724 | 0.137362 |
118 | 0.916156 | 0.167689 | 0.0838444 |
119 | 0.956681 | 0.086638 | 0.043319 |
120 | 0.955234 | 0.089531 | 0.0447655 |
121 | 0.9672 | 0.0656003 | 0.0328002 |
122 | 0.970688 | 0.0586239 | 0.0293119 |
123 | 0.975507 | 0.0489864 | 0.0244932 |
124 | 0.968446 | 0.063108 | 0.031554 |
125 | 0.966034 | 0.067932 | 0.033966 |
126 | 0.959036 | 0.0819271 | 0.0409635 |
127 | 0.948448 | 0.103105 | 0.0515523 |
128 | 0.936381 | 0.127238 | 0.0636191 |
129 | 0.921053 | 0.157894 | 0.0789472 |
130 | 0.956928 | 0.0861448 | 0.0430724 |
131 | 0.979208 | 0.0415844 | 0.0207922 |
132 | 0.98536 | 0.0292796 | 0.0146398 |
133 | 0.990283 | 0.0194338 | 0.0097169 |
134 | 0.986875 | 0.0262492 | 0.0131246 |
135 | 0.987315 | 0.0253705 | 0.0126853 |
136 | 0.982861 | 0.0342777 | 0.0171389 |
137 | 0.977034 | 0.0459326 | 0.0229663 |
138 | 0.972344 | 0.0553115 | 0.0276558 |
139 | 0.963659 | 0.0726817 | 0.0363408 |
140 | 0.953318 | 0.0933634 | 0.0466817 |
141 | 0.960415 | 0.0791704 | 0.0395852 |
142 | 0.948696 | 0.102608 | 0.0513042 |
143 | 0.958653 | 0.0826945 | 0.0413473 |
144 | 0.97813 | 0.0437397 | 0.0218699 |
145 | 0.971881 | 0.0562374 | 0.0281187 |
146 | 0.96251 | 0.0749803 | 0.0374902 |
147 | 0.961134 | 0.0777314 | 0.0388657 |
148 | 0.948874 | 0.102252 | 0.051126 |
149 | 0.94884 | 0.102321 | 0.0511603 |
150 | 0.943551 | 0.112898 | 0.056449 |
151 | 0.93575 | 0.128501 | 0.0642504 |
152 | 0.924369 | 0.151262 | 0.0756311 |
153 | 0.944718 | 0.110563 | 0.0552817 |
154 | 0.928976 | 0.142049 | 0.0710243 |
155 | 0.908871 | 0.182259 | 0.0911293 |
156 | 0.919987 | 0.160025 | 0.0800125 |
157 | 0.900736 | 0.198528 | 0.0992638 |
158 | 0.876623 | 0.246754 | 0.123377 |
159 | 0.87392 | 0.252159 | 0.12608 |
160 | 0.840271 | 0.319459 | 0.159729 |
161 | 0.801065 | 0.39787 | 0.198935 |
162 | 0.784272 | 0.431455 | 0.215728 |
163 | 0.743523 | 0.512953 | 0.256477 |
164 | 0.714716 | 0.570569 | 0.285284 |
165 | 0.710264 | 0.579473 | 0.289736 |
166 | 0.75633 | 0.48734 | 0.24367 |
167 | 0.928577 | 0.142845 | 0.0714225 |
168 | 0.913511 | 0.172979 | 0.0864895 |
169 | 0.985286 | 0.0294277 | 0.0147138 |
170 | 0.980791 | 0.0384187 | 0.0192093 |
171 | 0.973014 | 0.0539724 | 0.0269862 |
172 | 0.957964 | 0.0840712 | 0.0420356 |
173 | 0.965845 | 0.0683102 | 0.0341551 |
174 | 0.946148 | 0.107705 | 0.0538525 |
175 | 0.928495 | 0.143011 | 0.0715055 |
176 | 0.949763 | 0.100474 | 0.0502368 |
177 | 0.921852 | 0.156297 | 0.0781483 |
178 | 0.878055 | 0.24389 | 0.121945 |
179 | 0.817863 | 0.364275 | 0.182137 |
180 | 0.810545 | 0.378909 | 0.189455 |
181 | 0.873305 | 0.25339 | 0.126695 |
182 | 0.804002 | 0.391996 | 0.195998 |
183 | 0.893327 | 0.213346 | 0.106673 |
184 | 0.857281 | 0.285437 | 0.142719 |
185 | 0.926107 | 0.147786 | 0.0738931 |
186 | 0.846112 | 0.307776 | 0.153888 |
Meta Analysis of Goldfeld-Quandt test for Heteroskedasticity | |||
Description | # significant tests | % significant tests | OK/NOK |
1% type I error level | 0 | 0 | OK |
5% type I error level | 11 | 0.0607735 | NOK |
10% type I error level | 41 | 0.226519 | NOK |