Multiple Linear Regression - Estimated Regression Equation

Divorces[t] = + 1149.72 + 1.88001Month[t] -0.0360421Marriages[t] + 0.564791Accidents[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)	1149.72	266.137	4.32	4.44373e-05	2.22186e-05
Month	1.88001	10.3854	0.181	0.856806	0.428403
Marriages	-0.0360421	0.0235739	-1.529	0.130234	0.065117
Accidents	0.564791	0.119016	4.746	8.95936e-06	4.47968e-06

Multiple Linear Regression - Regression Statistics
Multiple R	0.509386
R-squared	0.259474
Adjusted R-squared	0.231705
F-TEST (value)	9.34378
F-TEST (DF numerator)	3
F-TEST (DF denominator)	80
p-value	2.29394e-05
Multiple Linear Regression - Residual Statistics
Residual Standard Deviation	293.706
Sum Squared Residuals	6901040

Multiple Linear Regression - Actuals, Interpolation, and Residuals
Time or Index	Actuals	Interpolation Forecast	Residuals Prediction Error
1	1967	2518.02	-551.022
2	2473	2565.9	-92.8973
3	2397	2496.02	-99.0219
4	1904	2427.51	-523.51
5	2732	2739.2	-7.20472
6	2297	2681.95	-384.948
7	2734	2374.94	359.065
8	2719	2451.05	267.953
9	2296	2728.45	-432.452
10	3243	2821.83	421.168
11	2166	2585.14	-419.137
12	2261	2588.68	-327.683
13	2408	2411	-2.99804
14	2536	2356.62	179.375
15	2324	2324.35	-0.349835
16	2178	2434.12	-256.124
17	2803	2563.38	239.615
18	2604	2656.03	-52.0298
19	2782	2395.17	386.834
20	2656	2491.63	164.372
21	2801	2739.7	61.2995
22	3122	2840.94	281.064
23	2393	2504.04	-111.037
24	2233	2438.08	-205.077
25	2451	2351.78	99.2211
26	2596	2193.72	402.276
27	2467	2279.3	187.7
28	2210	2272.66	-62.663
29	2948	2489.94	458.063
30	2507	2647.98	-140.978
31	3019	2503.89	515.105
32	2401	2438.38	-37.382
33	2818	2708.99	109.014
34	3305	2910.45	394.546
35	2101	2753.27	-652.269
36	2582	2667.44	-85.4425
37	2407	2414.94	-7.9389
38	2416	2357.68	58.3186
39	2463	2505.52	-42.5164
40	2228	2554.04	-326.036
41	2616	2533.95	82.051
42	2934	2639.06	294.936
43	2668	2392.16	275.838
44	2808	2485.08	322.92
45	2664	2696.53	-32.5312
46	3112	2706.42	405.578
47	2321	2591.11	-270.111
48	2718	2597.13	120.87
49	2297	2429.11	-132.105
50	2534	2492.93	41.0693
51	2647	2409.78	237.223
52	2064	2471.91	-407.911
53	2642	2653.96	-11.9624
54	2702	2660.78	41.223
55	2348	2427.19	-79.1948
56	2734	2380.1	353.902
57	2709	2640.48	68.5182
58	3206	2727.62	478.382
59	2214	2490.06	-276.061
60	2531	2403.19	127.811
61	2119	2331.45	-212.448
62	2369	2203.74	165.256
63	2682	2412.8	269.196
64	1840	2379.4	-539.402
65	2622	2439.58	182.423
66	2570	2579.03	-9.02683
67	2447	2322.39	124.613
68	2871	2446.85	424.148
69	2485	2611.4	-126.403
70	2957	2774.14	182.862
71	2102	2540.93	-438.928
72	2250	2341.73	-91.7254
73	2051	2164.53	-113.533
74	2260	2127.69	132.31
75	2327	2344.73	-17.7291
76	1781	2386.92	-605.918
77	2631	2449.91	181.089
78	2180	2573.63	-393.634
79	2150	2354.8	-204.803
80	2837	2368.17	468.831
81	1976	2568	-592.005
82	2836	2701.87	134.133
83	2203	2311.31	-108.311
84	1770	1985.72	-215.715

Goldfeld-Quandt test for Heteroskedasticity
p-values	Alternative Hypothesis
breakpoint index	greater	2-sided	less
7	0.56778	0.864439	0.43222
8	0.491758	0.983516	0.508242
9	0.814565	0.370869	0.185435
10	0.836086	0.327828	0.163914
11	0.948573	0.102854	0.0514268
12	0.942944	0.114112	0.0570559
13	0.926712	0.146575	0.0732876
14	0.91801	0.163979	0.0819896
15	0.878812	0.242377	0.121188
16	0.849428	0.301144	0.150572
17	0.852145	0.295709	0.147855
18	0.80095	0.398099	0.19905
19	0.823956	0.352087	0.176044
20	0.781392	0.437217	0.218608
21	0.734314	0.531372	0.265686
22	0.752062	0.495877	0.247938
23	0.703028	0.593944	0.296972
24	0.668331	0.663338	0.331669
25	0.620789	0.758423	0.379211
26	0.667488	0.665024	0.332512
27	0.619415	0.76117	0.380585
28	0.559709	0.880582	0.440291
29	0.641241	0.717519	0.358759
30	0.587651	0.824699	0.412349
31	0.69657	0.60686	0.30343
32	0.64024	0.719519	0.35976
33	0.58779	0.82442	0.41221
34	0.649685	0.700629	0.350315
35	0.837521	0.324959	0.162479
36	0.799655	0.40069	0.200345
37	0.750345	0.499311	0.249655
38	0.697212	0.605575	0.302788
39	0.639013	0.721975	0.360987
40	0.652016	0.695967	0.347984
41	0.594331	0.811337	0.405669
42	0.590363	0.819273	0.409637
43	0.581651	0.836698	0.418349
44	0.594377	0.811245	0.405623
45	0.532127	0.935746	0.467873
46	0.580758	0.838484	0.419242
47	0.576212	0.847577	0.423788
48	0.51761	0.964781	0.48239
49	0.467925	0.93585	0.532075
50	0.404757	0.809514	0.595243
51	0.37747	0.75494	0.62253
52	0.429354	0.858707	0.570646
53	0.364444	0.728888	0.635556
54	0.303362	0.606724	0.696638
55	0.251077	0.502155	0.748923
56	0.284857	0.569714	0.715143
57	0.22999	0.45998	0.77001
58	0.31303	0.626061	0.68697
59	0.298954	0.597908	0.701046
60	0.250037	0.500073	0.749963
61	0.227897	0.455795	0.772103
62	0.183423	0.366846	0.816577
63	0.172982	0.345965	0.827018
64	0.266338	0.532677	0.733662
65	0.23466	0.46932	0.76534
66	0.178004	0.356009	0.821996
67	0.15032	0.30064	0.84968
68	0.258481	0.516962	0.741519
69	0.195274	0.390548	0.804726
70	0.182667	0.365334	0.817333
71	0.199046	0.398092	0.800954
72	0.138519	0.277038	0.861481
73	0.0957847	0.191569	0.904215
74	0.0592457	0.118491	0.940754
75	0.0353981	0.0707961	0.964602
76	0.0736567	0.147313	0.926343
77	0.0413897	0.0827793	0.95861

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	0	0	OK
10% type I error level	2	0.028169	OK