Multiple Linear Regression - Estimated Regression Equation

WLH[t] = + 348.4 + 49.6M1[t] + 68.4M2[t] + 63.8M3[t] + 35.6M4[t] + 33.4M5[t] + 45.2M6[t] + 54M7[t] + 4.40000000000003M8[t] + 14.6M9[t] + 15.4M10[t] + 24.4M11[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)	348.4	32.787981	10.6258	0	0
M1	49.6	46.369207	1.0697	0.290115	0.145058
M2	68.4	46.369207	1.4751	0.146711	0.073355
M3	63.8	46.369207	1.3759	0.175235	0.087617
M4	35.6	46.369207	0.7678	0.446396	0.223198
M5	33.4	46.369207	0.7203	0.47483	0.237415
M6	45.2	46.369207	0.9748	0.334554	0.167277
M7	54	46.369207	1.1646	0.24995	0.124975
M8	4.40000000000003	46.369207	0.0949	0.924797	0.462398
M9	14.6	46.369207	0.3149	0.75423	0.377115
M10	15.4	46.369207	0.3321	0.741247	0.370623
M11	24.4	46.369207	0.5262	0.601164	0.300582

Multiple Linear Regression - Regression Statistics
Multiple R	0.315135434788893
R-squared	0.0993103422595844
Adjusted R-squared	-0.107097704305928
F-TEST (value)	0.481136001779195
F-TEST (DF numerator)	11
F-TEST (DF denominator)	48
p-value	0.905866078322301
Multiple Linear Regression - Residual Statistics
Residual Standard Deviation	73.3161532906176
Sum Squared Residuals	258012.4

Multiple Linear Regression - Actuals, Interpolation, and Residuals
Time or Index	Actuals	Interpolation Forecast	Residuals Prediction Error
1	493	398	94.9999999999998
2	514	416.8	97.2
3	522	412.2	109.8
4	490	384	106
5	484	381.8	102.2
6	506	393.6	112.4
7	501	402.4	98.6
8	462	352.8	109.2
9	465	363	102
10	454	363.8	90.2
11	464	372.8	91.2
12	427	348.4	78.6
13	460	398	62
14	473	416.8	56.2
15	465	412.2	52.8
16	422	384	38
17	415	381.8	33.2
18	413	393.6	19.4
19	420	402.4	17.6
20	363	352.8	10.2
21	376	363	13
22	380	363.8	16.2
23	384	372.8	11.2
24	346	348.4	-2.39999999999996
25	389	398	-8.99999999999995
26	407	416.8	-9.79999999999999
27	393	412.2	-19.2
28	346	384	-38
29	348	381.8	-33.8
30	353	393.6	-40.6
31	364	402.4	-38.4
32	305	352.8	-47.8
33	307	363	-56
34	312	363.8	-51.8
35	312	372.8	-60.8
36	286	348.4	-62.4
37	324	398	-74
38	336	416.8	-80.8
39	327	412.2	-85.2
40	302	384	-82
41	299	381.8	-82.8
42	311	393.6	-82.6
43	315	402.4	-87.4
44	264	352.8	-88.8
45	278	363	-85
46	278	363.8	-85.8
47	287	372.8	-85.8
48	279	348.4	-69.4
49	324	398	-74
50	354	416.8	-62.8
51	354	412.2	-58.2
52	360	384	-24
53	363	381.8	-18.8
54	385	393.6	-8.60000000000001
55	412	402.4	9.59999999999999
56	370	352.8	17.2
57	389	363	26
58	395	363.8	31.2
59	417	372.8	44.2
60	404	348.4	55.6

Goldfeld-Quandt test for Heteroskedasticity
p-values	Alternative Hypothesis
breakpoint index	greater	2-sided	less
15	0.250201563459611	0.500403126919223	0.749798436540389
16	0.306671458718974	0.613342917437948	0.693328541281026
17	0.349849233124161	0.699698466248323	0.650150766875839
18	0.477894279103105	0.95578855820621	0.522105720896895
19	0.522306510721075	0.95538697855785	0.477693489278925
20	0.608914616405925	0.78217076718815	0.391085383594075
21	0.645282175791988	0.709435648416025	0.354717824208013
22	0.641794806559986	0.716410386880028	0.358205193440014
23	0.643092209534623	0.713815580930753	0.356907790465377
24	0.62826820598732	0.743463588025361	0.371731794012681
25	0.678297593434487	0.643404813131026	0.321702406565513
26	0.713428165590686	0.573143668818629	0.286571834409314
27	0.755525264174805	0.488949471650391	0.244474735825195
28	0.778434655400833	0.443130689198333	0.221565344599167
29	0.7781387686149	0.4437224627702	0.2218612313851
30	0.774434166845593	0.451131666308815	0.225565833154407
31	0.75197679087696	0.496046418246081	0.24802320912304
32	0.736330834754512	0.527338330490976	0.263669165245488
33	0.7247085094689	0.5505829810622	0.2752914905311
34	0.696020841166978	0.607958317666043	0.303979158833022
35	0.676411850366838	0.647176299266324	0.323588149633162
36	0.654544628679444	0.690910742641113	0.345455371320556
37	0.621489164985639	0.757021670028722	0.378510835014361
38	0.585154555915809	0.829690888168382	0.414845444084191
39	0.54432867329992	0.91134265340016	0.45567132670008
40	0.499647012313934	0.999294024627869	0.500352987686066
41	0.450946880547574	0.901893761095149	0.549053119452426
42	0.401655409968224	0.803310819936449	0.598344590031776
43	0.374223036857242	0.748446073714484	0.625776963142758
44	0.352087494694144	0.704174989388288	0.647912505305856
45	0.325840846457549	0.651681692915097	0.674159153542451

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	0	0	OK