Multiple Linear Regression - Estimated Regression Equation

Sat[t] = + 48.7716447324039 -0.0329259567701882Age[t] -1.54456830512478MF[t] -0.462010688776791Rm[t] + 3.31334019308661PubPr[t] + 1.18532954135618LOS[t] -0.188414089256728OorG[t] + 2.14873852674129type[t] -0.333101201099572`wr `[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)	48.7716447324039	8.495137	5.7411	1e-06	0
Age	-0.0329259567701882	0.07281	-0.4522	0.653194	0.326597
MF	-1.54456830512478	2.37937	-0.6492	0.519401	0.259701
Rm	-0.462010688776791	1.042953	-0.443	0.65981	0.329905
PubPr	3.31334019308661	2.593253	1.2777	0.207638	0.103819
LOS	1.18532954135618	0.669969	1.7692	0.083344	0.041672
OorG	-0.188414089256728	2.631239	-0.0716	0.943219	0.471609
type	2.14873852674129	2.622467	0.8194	0.416718	0.208359
`wr `	-0.333101201099572	0.936702	-0.3556	0.723723	0.361862

Multiple Linear Regression - Regression Statistics
Multiple R	0.354064251111079
R-squared	0.125361493914849
Adjusted R-squared	-0.0235131454187933
F-TEST (value)	0.842060773251661
F-TEST (DF numerator)	8
F-TEST (DF denominator)	47
p-value	0.570853717890965
Multiple Linear Regression - Residual Statistics
Residual Standard Deviation	7.79841587553479
Sum Squared Residuals	2858.31863788627

Multiple Linear Regression - Actuals, Interpolation, and Residuals
Time or Index	Actuals	Interpolation Forecast	Residuals Prediction Error
1	48	54.832048240279	-6.83204824027897
2	56	51.1473074522038	4.85269254779624
3	47	51.2133544870231	-4.21335448702315
4	48	51.6518476307946	-3.65184763079456
5	45	49.5360350608235	-4.53603506082346
6	56	48.9433727413307	7.05662725866934
7	48	52.2988637664452	-4.2988637664452
8	45	54.7890550402771	-9.78905504027711
9	52	50.5896656774695	1.41033432253053
10	47	54.4918265566512	-7.49182655665118
11	52	48.0813567415492	3.91864325845083
12	60	51.140514155732	8.85948584426798
13	45	50.2515182253075	-5.25151822530753
14	48	51.2837258849365	-3.28372588493649
15	56	50.4192947935115	5.58070520648846
16	60	54.2491467775005	5.75085322249946
17	52	51.3495777984769	0.650422201523139
18	60	50.4935078248226	9.50649217517743
19	47	51.2868726692896	-4.28687266928955
20	52	55.9179099646506	-3.91790996465058
21	47	51.0448879721451	-4.04488797214511
22	59	51.6441643639992	7.35583563600082
23	48	48.7052028747734	-0.705202874773368
24	61	52.9375230967218	8.06247690327821
25	60	56.1464445929829	3.85355540701709
26	45	50.5769361596117	-5.57693615961172
27	63	50.644887563511	12.355112436489
28	41	49.4903795861955	-8.49037958619551
29	49	51.8427723009851	-2.84277230098506
30	63	51.2813596341772	11.7186403658228
31	54	50.4611574756259	3.53884252437407
32	55	53.0050074836095	1.99499251639052
33	70	51.3400861628187	18.6599138371813
34	43	51.589196244862	-8.58919624486198
35	58	54.7471315293554	3.25286847064461
36	56	50.5684964873567	5.43150351264325
37	50	54.9446872699765	-4.94468726997652
38	32	50.3709407467356	-18.3709407467356
39	59	55.7613745381699	3.23862546183012
40	58	52.6344657437374	5.36553425626265
41	56	52.765122276824	3.23487772317605
42	50	47.3990582031102	2.60094179688978
43	32	47.7941696843525	-15.7941696843525
44	36	49.9549008559061	-13.9549008559061
45	46	50.4496276730623	-4.44962767306226
46	47	56.5186711868718	-9.51867118687178
47	67	56.8221252803317	10.1778747196683
48	61	61.291020744728	-0.291020744727972
49	49	51.7039608146825	-2.70396081468248
50	49	50.3923369009421	-1.39233690094214
51	56	48.4497152562422	7.55028474375777
52	56	53.4873670325986	2.51263296740137
53	52	51.9069260100002	0.093073989999803
54	49	48.1204556885403	0.879544311459653
55	55	57.6245149764068	-2.62451497640683
56	56	53.6161240989759	2.38387590102408

Goldfeld-Quandt test for Heteroskedasticity
p-values	Alternative Hypothesis
breakpoint index	greater	2-sided	less
12	0.266571474917888	0.533142949835777	0.733428525082112
13	0.399622397801117	0.799244795602234	0.600377602198883
14	0.279145925479964	0.558291850959927	0.720854074520036
15	0.217620809981041	0.435241619962083	0.782379190018959
16	0.183425423625557	0.366850847251114	0.816574576374443
17	0.109965199537896	0.219930399075792	0.890034800462104
18	0.115086914963588	0.230173829927177	0.884913085036412
19	0.111293234498684	0.222586468997368	0.888706765501316
20	0.0819192557674437	0.163838511534887	0.918080744232556
21	0.0670519003542013	0.134103800708403	0.932948099645799
22	0.0458825738949691	0.0917651477899382	0.954117426105031
23	0.0386232919053569	0.0772465838107138	0.961376708094643
24	0.0531950475877376	0.106390095175475	0.946804952412262
25	0.0341406524705728	0.0682813049411455	0.965859347529427
26	0.0460599814478109	0.0921199628956219	0.953940018552189
27	0.0780938031962739	0.156187606392548	0.921906196803726
28	0.118959051108651	0.237918102217302	0.881040948891349
29	0.107175679070781	0.214351358141561	0.892824320929219
30	0.0867454549780464	0.173490909956093	0.913254545021954
31	0.0679795395698259	0.135959079139652	0.932020460430174
32	0.0475460293291161	0.0950920586582322	0.952453970670884
33	0.148803670522008	0.297607341044015	0.851196329477992
34	0.209219471078992	0.418438942157984	0.790780528921008
35	0.149570060916446	0.299140121832893	0.850429939083554
36	0.13660402992852	0.27320805985704	0.86339597007148
37	0.107814043736658	0.215628087473315	0.892185956263342
38	0.686199659202014	0.627600681595971	0.313800340797986
39	0.620194363961597	0.759611272076807	0.379805636038404
40	0.52814744272953	0.94370511454094	0.47185255727047
41	0.403374449184084	0.806748898368168	0.596625550815916
42	0.498620673309765	0.99724134661953	0.501379326690235
43	0.463358176932463	0.926716353864927	0.536641823067537
44	0.53106436326342	0.937871273473161	0.46893563673658

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	5	0.151515151515152	NOK