Multiple Linear Regression - Estimated Regression Equation
waarschijnlijkheid[t] = + 3.66027 + 0.125694veiligheid[t] + 0.0255036informatie[t] + e[t]


Multiple Linear Regression - Ordinary Least Squares
VariableParameterS.D.T-STAT
H0: parameter = 0		2-tail p-value1-tail p-value
(Intercept)+3.66 0.5543+6.6040e+00 5.176e-10 2.588e-10
veiligheid+0.1257 0.08646+1.4540e+00 0.1479 0.07395
informatie+0.0255 0.1009+2.5270e-01 0.8008 0.4004


Multiple Linear Regression - Regression Statistics
Multiple R 0.1166
R-squared 0.01359
Adjusted R-squared 0.001709
F-TEST (value) 1.144
F-TEST (DF numerator)2
F-TEST (DF denominator)166
p-value 0.3211
Multiple Linear Regression - Residual Statistics
Residual Standard Deviation 0.827
Sum Squared Residuals 113.5


Multiple Linear Regression - Actuals, Interpolation, and Residuals
Time or IndexActualsInterpolation
Forecast		Residuals
Prediction Error
1 3 4.291-1.291
2 5 4.416 0.5837
3 5 4.265 0.7349
4 5 4.265 0.7349
5 4 4.291-0.2906
6 5 4.416 0.5837
7 5 4.416 0.5837
8 5 4.391 0.6092
9 5 4.391 0.6092
10 5 4.416 0.5837
11 5 4.391 0.6092
12 4 4.265-0.2651
13 5 4.291 0.7094
14 5 4.416 0.5837
15 4 4.391-0.3908
16 3 4.291-1.291
17 5 4.291 0.7094
18 4 4.265-0.2651
19 5 4.265 0.7349
20 5 4.416 0.5837
21 4 4.416-0.4163
22 2 4.291-2.291
23 5 4.291 0.7094
24 5 4.265 0.7349
25 5 4.416 0.5837
26 4 4.24-0.2396
27 4 4.391-0.3908
28 4 4.265-0.2651
29 5 4.391 0.6092
30 5 4.265 0.7349
31 4 4.291-0.2906
32 5 4.165 0.8351
33 5 4.416 0.5837
34 1 4.291-3.291
35 5 4.291 0.7094
36 4 4.416-0.4163
37 4 4.265-0.2651
38 4 4.391-0.3908
39 5 4.391 0.6092
40 4 4.391-0.3908
41 4 4.265-0.2651
42 5 4.265 0.7349
43 3 4.265-1.265
44 5 4.391 0.6092
45 5 4.291 0.7094
46 2 4.265-2.265
47 3 4.265-1.265
48 4 4.014-0.01367
49 4 4.265-0.2651
50 4 4.265-0.2651
51 5 4.416 0.5837
52 5 4.391 0.6092
53 4 4.391-0.3908
54 5 4.291 0.7094
55 5 4.265 0.7349
56 4 4.265-0.2651
57 5 4.391 0.6092
58 4 4.365-0.3653
59 4 4.265-0.2651
60 3 4.391-1.391
61 4 4.391-0.3908
62 4 4.291-0.2906
63 5 4.416 0.5837
64 4 4.416-0.4163
65 4 4.416-0.4163
66 4 4.365-0.3653
67 4 4.139-0.1394
68 4 4.416-0.4163
69 2 4.265-2.265
70 4 4.139-0.1394
71 4 4.416-0.4163
72 5 4.416 0.5837
73 3 4.139-1.139
74 3 4.291-1.291
75 5 4.265 0.7349
76 4 4.391-0.3908
77 5 4.416 0.5837
78 4 4.416-0.4163
79 4 4.416-0.4163
80 5 4.416 0.5837
81 5 4.416 0.5837
82 5 4.265 0.7349
83 4 4.265-0.2651
84 5 4.265 0.7349
85 5 4.416 0.5837
86 2 4.265-2.265
87 5 4.391 0.6092
88 5 4.416 0.5837
89 5 4.416 0.5837
90 5 4.039 0.9608
91 4 4.214-0.2141
92 4 4.391-0.3908
93 5 4.265 0.7349
94 4 4.24-0.2396
95 5 4.416 0.5837
96 5 4.416 0.5837
97 5 4.291 0.7094
98 4 4.416-0.4163
99 5 4.416 0.5837
100 5 4.391 0.6092
101 3 4.416-1.416
102 5 4.391 0.6092
103 5 4.291 0.7094
104 5 4.391 0.6092
105 4 4.265-0.2651
106 4 4.416-0.4163
107 4 4.416-0.4163
108 4 4.265-0.2651
109 5 4.391 0.6092
110 5 4.391 0.6092
111 4 4.416-0.4163
112 3 4.139-1.139
113 3 4.416-1.416
114 4 4.139-0.1394
115 4 4.265-0.2651
116 5 4.265 0.7349
117 5 4.416 0.5837
118 4 4.265-0.2651
119 5 4.416 0.5837
120 5 4.416 0.5837
121 4 4.391-0.3908
122 4 4.291-0.2906
123 5 4.291 0.7094
124 5 4.416 0.5837
125 5 4.24 0.7604
126 5 4.391 0.6092
127 4 4.391-0.3908
128 5 4.139 0.8606
129 3 4.416-1.416
130 5 4.265 0.7349
131 5 4.265 0.7349
132 4 4.265-0.2651
133 5 4.139 0.8606
134 4 4.416-0.4163
135 4 4.265-0.2651
136 4 4.265-0.2651
137 4 4.214-0.2141
138 2 4.265-2.265
139 4 4.391-0.3908
140 5 4.416 0.5837
141 5 4.391 0.6092
142 5 4.391 0.6092
143 4 4.291-0.2906
144 4 4.265-0.2651
145 5 4.416 0.5837
146 5 4.391 0.6092
147 5 4.265 0.7349
148 5 4.391 0.6092
149 5 4.391 0.6092
150 5 4.416 0.5837
151 4 4.391-0.3908
152 5 4.416 0.5837
153 3 4.416-1.416
154 3 4.416-1.416
155 4 4.165-0.1649
156 4 4.265-0.2651
157 3 4.416-1.416
158 3 4.165-1.165
159 5 4.291 0.7094
160 5 4.291 0.7094
161 5 4.391 0.6092
162 5 4.039 0.9608
163 5 4.34 0.6603
164 5 4.139 0.8606
165 5 4.416 0.5837
166 5 3.913 1.087
167 4 4.391-0.3908
168 4 4.391-0.3908
169 2 4.416-2.416


Goldfeld-Quandt test for Heteroskedasticity
p-valuesAlternative Hypothesis
breakpoint indexgreater2-sidedless
6 0.1334 0.2667 0.8666
7 0.05216 0.1043 0.9478
8 0.1682 0.3364 0.8318
9 0.1319 0.2638 0.8681
10 0.07967 0.1593 0.9203
11 0.05285 0.1057 0.9471
12 0.03865 0.07731 0.9613
13 0.07001 0.14 0.93
14 0.04242 0.08484 0.9576
15 0.08211 0.1642 0.9179
16 0.1493 0.2987 0.8507
17 0.1692 0.3384 0.8308
18 0.129 0.2581 0.871
19 0.1198 0.2395 0.8802
20 0.08758 0.1752 0.9124
21 0.08928 0.1786 0.9107
22 0.4055 0.8109 0.5945
23 0.4417 0.8835 0.5583
24 0.4122 0.8243 0.5878
25 0.3607 0.7213 0.6393
26 0.3381 0.6762 0.6619
27 0.3491 0.6982 0.6509
28 0.2982 0.5964 0.7018
29 0.2515 0.503 0.7485
30 0.2417 0.4834 0.7583
31 0.198 0.396 0.802
32 0.2561 0.5122 0.7439
33 0.2209 0.4419 0.7791
34 0.8836 0.2328 0.1164
35 0.8827 0.2347 0.1173
36 0.8661 0.2677 0.1339
37 0.8396 0.3207 0.1604
38 0.8276 0.3447 0.1724
39 0.8001 0.3998 0.1999
40 0.7843 0.4313 0.2157
41 0.7488 0.5024 0.2512
42 0.7364 0.5273 0.2636
43 0.7865 0.4269 0.2135
44 0.7585 0.4829 0.2415
45 0.7555 0.489 0.2445
46 0.9222 0.1555 0.07776
47 0.9374 0.1253 0.06264
48 0.9302 0.1396 0.06981
49 0.9137 0.1726 0.08628
50 0.8946 0.2109 0.1054
51 0.8794 0.2411 0.1206
52 0.8634 0.2732 0.1366
53 0.8462 0.3075 0.1538
54 0.8409 0.3181 0.1591
55 0.8368 0.3264 0.1632
56 0.8085 0.3831 0.1915
57 0.7881 0.4238 0.2119
58 0.7637 0.4726 0.2363
59 0.729 0.542 0.271
60 0.8007 0.3986 0.1993
61 0.7764 0.4473 0.2236
62 0.7444 0.5112 0.2556
63 0.7206 0.5589 0.2794
64 0.6957 0.6086 0.3043
65 0.669 0.662 0.331
66 0.6347 0.7306 0.3653
67 0.5939 0.8122 0.4061
68 0.5639 0.8723 0.4361
69 0.8001 0.3997 0.1999
70 0.7706 0.4587 0.2294
71 0.7463 0.5074 0.2537
72 0.7254 0.5491 0.2746
73 0.7497 0.5005 0.2503
74 0.7961 0.4077 0.2039
75 0.7934 0.4132 0.2066
76 0.7686 0.4628 0.2314
77 0.7493 0.5014 0.2507
78 0.724 0.5521 0.276
79 0.6971 0.6058 0.3029
80 0.6756 0.6488 0.3244
81 0.6537 0.6926 0.3463
82 0.6492 0.7017 0.3508
83 0.6121 0.7758 0.3879
84 0.6063 0.7874 0.3937
85 0.5835 0.8331 0.4165
86 0.827 0.346 0.173
87 0.8129 0.3741 0.1871
88 0.7976 0.4048 0.2024
89 0.7821 0.4358 0.2179
90 0.802 0.3961 0.198
91 0.7802 0.4395 0.2198
92 0.7543 0.4914 0.2457
93 0.7463 0.5074 0.2537
94 0.7187 0.5625 0.2813
95 0.7026 0.5949 0.2974
96 0.687 0.626 0.313
97 0.6787 0.6427 0.3213
98 0.6474 0.7053 0.3526
99 0.6326 0.7347 0.3674
100 0.613 0.774 0.387
101 0.6875 0.6251 0.3125
102 0.6688 0.6625 0.3312
103 0.661 0.678 0.339
104 0.6423 0.7155 0.3577
105 0.6054 0.7892 0.3946
106 0.5698 0.8604 0.4302
107 0.5333 0.9334 0.4667
108 0.4946 0.9891 0.5054
109 0.4737 0.9475 0.5263
110 0.4537 0.9073 0.5463
111 0.4163 0.8327 0.5837
112 0.4849 0.9698 0.5151
113 0.562 0.8761 0.438
114 0.528 0.944 0.472
115 0.4909 0.9818 0.5091
116 0.4733 0.9465 0.5267
117 0.4595 0.919 0.5405
118 0.4221 0.8442 0.5779
119 0.4112 0.8223 0.5888
120 0.4037 0.8073 0.5963
121 0.3656 0.7312 0.6344
122 0.3244 0.6488 0.6756
123 0.3158 0.6316 0.6842
124 0.3133 0.6267 0.6867
125 0.2901 0.5803 0.7099
126 0.2752 0.5505 0.7248
127 0.2404 0.4808 0.7596
128 0.2272 0.4544 0.7728
129 0.2738 0.5476 0.7262
130 0.2568 0.5135 0.7432
131 0.2408 0.4816 0.7592
132 0.2071 0.4143 0.7929
133 0.194 0.3879 0.806
134 0.162 0.3241 0.838
135 0.1349 0.2699 0.8651
136 0.1112 0.2224 0.8888
137 0.1039 0.2079 0.8961
138 0.4299 0.8598 0.5701
139 0.3906 0.7812 0.6094
140 0.3978 0.7956 0.6022
141 0.3654 0.7308 0.6346
142 0.3358 0.6716 0.6642
143 0.2835 0.5671 0.7165
144 0.2545 0.5091 0.7455
145 0.2737 0.5474 0.7263
146 0.2489 0.4978 0.7511
147 0.2146 0.4293 0.7854
148 0.1969 0.3937 0.8031
149 0.1843 0.3685 0.8157
150 0.2331 0.4663 0.7669
151 0.1832 0.3664 0.8168
152 0.2689 0.5378 0.7311
153 0.2471 0.4942 0.7529
154 0.2307 0.4614 0.7693
155 0.1784 0.3568 0.8216
156 0.1412 0.2824 0.8588
157 0.1367 0.2734 0.8633
158 0.26 0.52 0.74
159 0.233 0.4659 0.767
160 0.2253 0.4506 0.7747
161 0.2209 0.4417 0.7791
162 0.145 0.2899 0.855
163 0.0782 0.1564 0.9218


Meta Analysis of Goldfeld-Quandt test for Heteroskedasticity
Description# significant tests% significant testsOK/NOK
1% type I error level0 0OK
5% type I error level00OK
10% type I error level20.0126582OK


Ramsey RESET F-Test for powers (2 and 3) of fitted values
> reset_test_fitted
	RESET test
data:  mylm
RESET = 2.7033, df1 = 2, df2 = 164, p-value = 0.06997
Ramsey RESET F-Test for powers (2 and 3) of regressors
> reset_test_regressors
	RESET test
data:  mylm
RESET = 1.5647, df1 = 4, df2 = 162, p-value = 0.1862
Ramsey RESET F-Test for powers (2 and 3) of principal components
> reset_test_principal_components
	RESET test
data:  mylm
RESET = 2.4591, df1 = 2, df2 = 164, p-value = 0.08866


Variance Inflation Factors (Multicollinearity)
> vif
veiligheid informatie 
  1.012579   1.012579