Multiple Linear Regression - Estimated Regression Equation

Place[t] = 0 0pageviews[t] 0Blogs[t] 0PR[t] 0LFM[t] 0KCS[t] 0SPR[t] 0CH[t] 0Hours[t] 0`Month\r`[t] 0M1[t] 0M2[t] 0M3[t] 0M4[t] 0M5[t] 0M6[t] 0M7[t] 0M8[t] 0M9[t] 0M10[t] 0M11[t] + 1t + 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)	0	0	0	1	0.5
pageviews	0	0	0	1	0.5
Blogs	0	0	0	1	0.5
PR	0	0	0	1	0.5
LFM	0	0	0	1	0.5
KCS	0	0	0	1	0.5
SPR	0	0	0	1	0.5
CH	0	0	0	1	0.5
Hours	0	0	0	1	0.5
`Month\r`	0	0	0	1	0.5
M1	0	0	0	1	0.5
M2	0	0	0	1	0.5
M3	0	0	0	1	0.5
M4	0	0	0	1	0.5
M5	0	0	0	1	0.5
M6	0	0	0	1	0.5
M7	0	0	0	1	0.5
M8	0	0	0	1	0.5
M9	0	0	0	1	0.5
M10	0	0	0	1	0.5
M11	0	0	0	1	0.5
t	1	0	210234516021400064	0	0

Multiple Linear Regression - Regression Statistics
Multiple R	1
R-squared	1
Adjusted R-squared	1
F-TEST (value)	7.83779740827324e+34
F-TEST (DF numerator)	21
F-TEST (DF denominator)	118
p-value	0
Multiple Linear Regression - Residual Statistics
Residual Standard Deviation	3.72720849338448e-16
Sum Squared Residuals	1.63926581207257e-29

Multiple Linear Regression - Actuals, Interpolation, and Residuals
Time or Index	Actuals	Interpolation Forecast	Residuals Prediction Error
1	1	1	-7.97634353415857e-17
2	2	2	-1.44813521381552e-16
3	3	3	3.30773272771716e-16
4	4	4	-1.43677547922788e-17
5	5	5	-1.47694193164958e-16
6	6	6	-2.57331063588023e-16
7	7	7	-3.10203894040604e-16
8	8	8	3.33879398662313e-16
9	9	9	1.07503249186494e-17
10	10	10	6.24051982163887e-16
11	11	11	-2.43722916423967e-16
12	12	12	-2.44301124629744e-16
13	13	13	-3.43558629663781e-17
14	14	14	-1.05750285281624e-16
15	15	15	-1.9743603976084e-16
16	16	16	5.81573453429147e-16
17	17	17	5.27048721740276e-16
18	18	18	-1.2628849600408e-16
19	19	19	5.01637341713209e-16
20	20	20	-5.01882576868341e-16
21	21	21	5.84429209924293e-16
22	22	22	-1.7656789312555e-15
23	23	23	1.03627148695093e-16
24	24	24	2.17689848463289e-16
25	25	25	2.2550777667528e-16
26	26	26	1.34553829094619e-16
27	27	27	-3.80916479295685e-17
28	28	28	-5.53534589998377e-16
29	29	29	-1.61334808420687e-17
30	30	30	1.12843787104342e-16
31	31	31	-2.8495202349558e-16
32	32	32	-1.67590876581963e-16
33	33	33	-6.87864879526288e-17
34	34	34	2.52599494728778e-16
35	35	35	-1.71300146698318e-16
36	36	36	-6.51928591305154e-17
37	37	37	9.15997315999331e-17
38	38	38	2.34370694663095e-16
39	39	39	-2.71744853231668e-16
40	40	40	8.59401429935066e-17
41	41	41	-2.6802185115733e-16
42	42	42	3.92278353903212e-16
43	43	43	-2.94679168330986e-17
44	44	44	-1.24277192603127e-16
45	45	45	-2.00108401820708e-16
46	46	46	-5.01530870036958e-17
47	47	47	7.54977192596114e-16
48	48	48	1.9098099626685e-16
49	49	49	-6.35361757936597e-16
50	50	50	-7.57742256548325e-16
51	51	51	-2.02900692218031e-16
52	52	52	-1.53497779623321e-16
53	53	53	3.12825049612134e-16
54	54	54	7.7295143456182e-16
55	55	55	3.34990325261051e-16
56	56	56	-3.96512454639541e-16
57	57	57	-5.03210296620342e-16
58	58	58	4.55971011883684e-16
59	59	59	9.32581969867824e-17
60	60	60	1.76606787134555e-16
61	61	61	-2.82192549926085e-16
62	62	62	4.18073127410164e-16
63	63	63	2.25832856466757e-16
64	64	64	-1.66444374757115e-16
65	65	65	-1.2691953976782e-16
66	66	66	-3.59831871381328e-16
67	67	67	-1.35007909723549e-16
68	68	68	3.3431291870767e-16
69	69	69	2.70487337596975e-16
70	70	70	-6.62025093708371e-17
71	71	71	-1.41521811031577e-16
72	72	72	4.48940606336782e-17
73	73	73	1.08754238757116e-16
74	74	74	4.06527815147739e-17
75	75	75	1.63941931222284e-16
76	76	76	1.52140166311089e-18
77	77	77	-1.26483724738504e-16
78	78	78	1.65538981096481e-16
79	79	79	2.14414004513489e-16
80	80	80	3.65316328291068e-16
81	81	81	1.300738812896e-16
82	82	82	2.68842822129304e-16
83	83	83	3.33241254093858e-16
84	84	84	-7.6274477222133e-16
85	85	85	-1.17288679016795e-16
86	86	86	2.88522608516221e-16
87	87	87	-1.75245775852714e-18
88	88	88	2.75378668536736e-16
89	89	89	-1.5403475253504e-16
90	90	90	3.46178680378569e-16
91	91	91	-1.36555628473518e-16
92	92	92	-4.40751230597616e-17
93	93	93	-4.64723602052111e-16
94	94	94	1.67070468750056e-16
95	95	95	-3.65010374159259e-16
96	96	96	2.68531959693792e-16
97	97	97	9.97349407986638e-16
98	98	98	-3.98216156332618e-16
99	99	99	-1.22988090827218e-16
100	100	100	-5.78882382642139e-16
101	101	101	4.56156522118559e-16
102	102	102	4.12138838197608e-17
103	103	103	3.01857130360259e-16
104	104	104	7.81296795721997e-17
105	105	105	1.31078659101693e-16
106	106	106	2.01683309129135e-16
107	107	107	-1.33561788139811e-16
108	108	108	-3.82276625925965e-16
109	109	109	1.49875473366465e-16
110	110	110	-5.85960350533267e-17
111	111	111	-1.22704717710238e-17
112	112	112	1.20261749762166e-16
113	113	113	-1.07083134362561e-17
114	114	114	-6.63887497943285e-16
115	115	115	1.98786247071244e-16
116	116	116	6.83706543356026e-17
117	117	117	-4.70412757118294e-17
118	118	118	2.68656229962784e-16
119	119	119	-2.45119119363858e-16
120	120	120	5.80306568288563e-16
121	121	121	-1.12956513094745e-16
122	122	122	6.88900451690587e-17
123	123	123	1.03688978233035e-16
124	124	124	-6.23810382535117e-17
125	125	125	-1.07403564180906e-16
126	126	126	-1.31620993117056e-16
127	127	127	-2.8825131258986e-16
128	128	128	-3.78047431074876e-17
129	129	129	1.57050651326408e-16
130	130	130	-3.56840791117599e-16
131	131	131	1.51323634449419e-17
132	132	132	-2.44948385731719e-17
133	133	133	-3.11167830103248e-16
134	134	134	2.80055168229514e-16
135	135	135	2.29472148030852e-17
136	136	136	4.64432503682076e-16
137	137	137	-3.38630873648087e-16
138	138	138	-2.92045198830414e-16
139	139	139	-3.67246363763043e-16
140	140	140	9.21339872913681e-17

Goldfeld-Quandt test for Heteroskedasticity
p-values	Alternative Hypothesis
breakpoint index	greater	2-sided	less
25	0.123803721439726	0.247607442879451	0.876196278560274
26	0.409281060849955	0.81856212169991	0.590718939150045
27	0.0172532136558968	0.0345064273117936	0.982746786344103
28	0.189328476322646	0.378656952645291	0.810671523677354
29	1	2.26024889156927e-19	1.13012444578463e-19
30	0.9999997879122	4.24175600776501e-07	2.1208780038825e-07
31	1	2.76160894145547e-28	1.38080447072773e-28
32	0.999317296377117	0.00136540724576582	0.00068270362288291
33	0.981571069354781	0.0368578612904376	0.0184289306452188
34	0.974087632525255	0.0518247349494901	0.0259123674747451
35	1	4.48398248768303e-16	2.24199124384151e-16
36	1	9.10633735094409e-23	4.55316867547204e-23
37	1	3.76184105753325e-16	1.88092052876663e-16
38	0.999999967772178	6.44556448637385e-08	3.22278224318693e-08
39	1	3.77583187432384e-18	1.88791593716192e-18
40	0.999999999999879	2.41138169404257e-13	1.20569084702128e-13
41	0.997340956128708	0.00531808774258397	0.00265904387129198
42	1	2.23269360768023e-39	1.11634680384012e-39
43	1	1.39622822949522e-32	6.98114114747612e-33
44	0.999999993473998	1.30520048333921e-08	6.52600241669604e-09
45	0.999947639074457	0.00010472185108663	5.2360925543315e-05
46	0.319156554898643	0.638313109797286	0.680843445101357
47	0.998582759204442	0.00283448159111633	0.00141724079555817
48	1	8.93540087582234e-23	4.46770043791117e-23
49	1	8.52616142741356e-20	4.26308071370678e-20
50	0.999999050956629	1.89808674237756e-06	9.49043371188782e-07
51	0.999595518420245	0.000808963159510303	0.000404481579755151
52	1	3.14331600470729e-33	1.57165800235364e-33
53	1	7.08306475052568e-25	3.54153237526284e-25
54	1	1.31407368717302e-18	6.57036843586508e-19
55	0.999999694278471	6.11443058749362e-07	3.05721529374681e-07
56	1	1.40232728734329e-21	7.01163643671645e-22
57	0.608681918959902	0.782636162080195	0.391318081040098
58	0.0889626488929096	0.177925297785819	0.91103735110709
59	0.999973395628126	5.3208743748578e-05	2.6604371874289e-05
60	0.999999999999987	2.55098233871617e-14	1.27549116935809e-14
61	0.999999990192429	1.96151425319049e-08	9.80757126595243e-09
62	0.983028183885582	0.0339436322288368	0.0169718161144184
63	0.999981237880682	3.75242386350189e-05	1.87621193175095e-05
64	1	4.16158305477251e-21	2.08079152738626e-21
65	0.000700752378264147	0.00140150475652829	0.999299247621736
66	1	4.19080056020306e-19	2.09540028010153e-19
67	0.99984693648358	0.000306127032840657	0.000153063516420329
68	0.99999999425311	1.1493780673825e-08	5.74689033691252e-09
69	0.999997587526753	4.82494649350227e-06	2.41247324675114e-06
70	0.999979250737342	4.14985253157809e-05	2.07492626578904e-05
71	1	3.56767355629989e-20	1.78383677814994e-20
72	0.999999990831315	1.83373707576268e-08	9.1686853788134e-09
73	1	4.10339123965752e-31	2.05169561982876e-31
74	0.999999995585563	8.82887432735974e-09	4.41443716367987e-09
75	0.999999999999999	1.51405769448098e-15	7.5702884724049e-16
76	1	1.13671200172383e-26	5.68356000861914e-27
77	0.999999675937321	6.48125357629e-07	3.240626788145e-07
78	0.99999999999833	3.34081507235599e-12	1.67040753617799e-12
79	0.999999999999379	1.24206722714394e-12	6.21033613571969e-13
80	0.999933972962909	0.000132054074181809	6.60270370909047e-05
81	0.999999999996065	7.86962087637197e-12	3.93481043818599e-12
82	0.983113603162604	0.0337727936747927	0.0168863968373964
83	0.999999999999999	2.31041395071117e-15	1.15520697535558e-15
84	0.999999999999007	1.98513548386677e-12	9.92567741933386e-13
85	1	2.01186198076286e-21	1.00593099038143e-21
86	1	5.92754041467751e-28	2.96377020733876e-28
87	0.999999277626545	1.44474691000114e-06	7.22373455000569e-07
88	0.999999999999953	9.4255116628118e-14	4.7127558314059e-14
89	1	5.95473326931478e-22	2.97736663465739e-22
90	1	5.2639527086593e-20	2.63197635432965e-20
91	0.918970853004247	0.162058293991507	0.0810291469957533
92	0.999999999999999	1.22111890922733e-15	6.10559454613663e-16
93	0.999999999871682	2.56636371996363e-10	1.28318185998181e-10
94	0.999999998979232	2.04153583870287e-09	1.02076791935144e-09
95	0.999964975723741	7.00485525183595e-05	3.50242762591798e-05
96	0.990941268945848	0.018117462108304	0.00905873105415201
97	1	8.048362730301e-18	4.0241813651505e-18
98	0.999999965983422	6.80331560175907e-08	3.40165780087954e-08
99	0.99832498063502	0.00335003872995913	0.00167501936497957
100	0.856547763860225	0.286904472279551	0.143452236139775
101	0.96317599655011	0.0736480068997807	0.0368240034498903
102	0.99999982207525	3.55849500410809e-07	1.77924750205404e-07
103	0.584657449690082	0.830685100619837	0.415342550309918
104	0.222967596644294	0.445935193288588	0.777032403355706
105	0.999992348701807	1.53025963867646e-05	7.65129819338229e-06
106	0.999999925586826	1.48826348700765e-07	7.44131743503823e-08
107	0.896053221997375	0.207893556005251	0.103946778002625
108	0.928387350959707	0.143225298080587	0.0716126490402933
109	0.982667303452351	0.0346653930952984	0.0173326965476492
110	0.985339606800827	0.0293207863983453	0.0146603931991726
111	0.999841274228587	0.000317451542824932	0.000158725771412466
112	0.997229225453554	0.00554154909289171	0.00277077454644585
113	0.970855044580897	0.0582899108382064	0.0291449554191032
114	0.929096384972273	0.141807230055454	0.0709036150277272
115	0.998093412178632	0.00381317564273656	0.00190658782136828

Meta Analysis of Goldfeld-Quandt test for Heteroskedasticity
Description	# significant tests	% significant tests	OK/NOK
1% type I error level	68	0.747252747252747	NOK
5% type I error level	75	0.824175824175824	NOK
10% type I error level	78	0.857142857142857	NOK