Multiple Linear Regression - Estimated Regression Equation

T20[t] = + 0.208157967837793 -0.0180162515085518UseLimit[t] + 0.524394770198253Used[t] -0.637247281105345CorrectAnalysis[t] -0.155827269947314Useful[t] -0.0940565978276855Outcome[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)	0.208157967837793	0.071996	2.8912	0.005284	0.002642
UseLimit	-0.0180162515085518	0.103727	-0.1737	0.862676	0.431338
Used	0.524394770198253	0.126088	4.159	1e-04	5e-05
CorrectAnalysis	-0.637247281105345	0.250114	-2.5478	0.013333	0.006666
Useful	-0.155827269947314	0.133481	-1.1674	0.247513	0.123756
Outcome	-0.0940565978276855	0.104621	-0.899	0.37212	0.18606

Multiple Linear Regression - Regression Statistics
Multiple R	0.499115094727205
R-squared	0.249115877784547
Adjusted R-squared	0.18856070663814
F-TEST (value)	4.11386629858987
F-TEST (DF numerator)	5
F-TEST (DF denominator)	62
p-value	0.00273046467417781
Multiple Linear Regression - Residual Statistics
Residual Standard Deviation	0.392957614028968
Sum Squared Residuals	9.57377255824702

Multiple Linear Regression - Actuals, Interpolation, and Residuals
Time or Index	Actuals	Interpolation Forecast	Residuals Prediction Error
1	0	0.0960851185015559	-0.0960851185015559
2	1	0.62047988869981	0.37952011130019
3	0	0.208157967837793	-0.208157967837793
4	0	0.114101370010108	-0.114101370010108
5	0	0.0523306978904786	-0.0523306978904786
6	1	0.190141716329242	0.809858283670758
7	0	0.0343144463819268	-0.0343144463819268
8	0	0.208157967837793	-0.208157967837793
9	1	0.208157967837793	0.791842032162207
10	0	0.114101370010108	-0.114101370010108
11	1	0.190141716329241	0.809858283670759
12	0	0.208157967837793	-0.208157967837793
13	0	0.190141716329241	-0.190141716329241
14	0	0.114101370010108	-0.114101370010108
15	0	0.0960851185015558	-0.0960851185015558
16	0	0.208157967837793	-0.208157967837793
17	0	0.208157967837793	-0.208157967837793
18	0	0.208157967837793	-0.208157967837793
19	1	0.732552738036047	0.267447261963953
20	0	0.208157967837793	-0.208157967837793
21	0	0.208157967837793	-0.208157967837793
22	1	0.714536486527495	0.285463513472505
23	0	0.208157967837793	-0.208157967837793
24	0	0.190141716329241	-0.190141716329241
25	1	0.55870921658018	0.44129078341982
26	1	0.208157967837793	0.791842032162207
27	0	0.732552738036047	-0.732552738036047
28	1	0.714536486527495	0.285463513472505
29	0	0.190141716329241	-0.190141716329241
30	0	0.208157967837793	-0.208157967837793
31	0	0.0960851185015558	-0.0960851185015558
32	0	0.190141716329241	-0.190141716329241
33	0	0.208157967837793	-0.208157967837793
34	0	0.114101370010108	-0.114101370010108
35	0	0.190141716329241	-0.190141716329241
36	0	0.208157967837793	-0.208157967837793
37	1	0.714536486527495	0.285463513472505
38	0	0.482668870261047	-0.482668870261047
39	0	0.114101370010108	-0.114101370010108
40	1	0.208157967837793	0.791842032162207
41	0	0.0523306978904786	-0.0523306978904786
42	0	0.114101370010108	-0.114101370010108
43	0	0.208157967837793	-0.208157967837793
44	0	0.114101370010108	-0.114101370010108
45	0	0.190141716329241	-0.190141716329241
46	0	0.0960851185015558	-0.0960851185015558
47	0	0.714536486527495	-0.714536486527495
48	0	0.208157967837793	-0.208157967837793
49	0	0.208157967837793	-0.208157967837793
50	0	0.208157967837793	-0.208157967837793
51	0	0.464652618752495	-0.464652618752495
52	1	0.464652618752495	0.535347381247505
53	1	0.208157967837793	0.791842032162207
54	0	0.208157967837793	-0.208157967837793
55	0	0.0012488591030157	-0.0012488591030157
56	1	0.638496140208361	0.361503859791639
57	0	0.190141716329241	-0.190141716329241
58	0	-0.0417258999372069	0.0417258999372069
59	0	0.0523306978904786	-0.0523306978904786
60	1	0.114101370010108	0.885898629989892
61	1	0.732552738036047	0.267447261963953
62	1	0.208157967837793	0.791842032162207
63	0	0.190141716329241	-0.190141716329241
64	0	-0.0417258999372069	0.0417258999372069
65	0	0.114101370010108	-0.114101370010108
66	0	0.0772892054221494	-0.0772892054221494
67	0	-0.0785380645251651	0.0785380645251651
68	0	0.714536486527495	-0.714536486527495

Goldfeld-Quandt test for Heteroskedasticity
p-values	Alternative Hypothesis
breakpoint index	greater	2-sided	less
9	0.859321003932538	0.281357992134924	0.140678996067462
10	0.759955005008865	0.480089989982271	0.240044994991135
11	0.732261348909385	0.53547730218123	0.267738651090615
12	0.720712859989236	0.558574280021528	0.279287140010764
13	0.815479828374302	0.369040343251396	0.184520171625698
14	0.736297956222144	0.527404087555711	0.263702043777856
15	0.653402534960587	0.693194930078827	0.346597465039413
16	0.606028334403418	0.787943331193164	0.393971665596582
17	0.546822941962809	0.906354116074382	0.453177058037191
18	0.481415156048099	0.962830312096198	0.518584843951901
19	0.397078035616136	0.794156071232271	0.602921964383864
20	0.334477765652702	0.668955531305404	0.665522234347298
21	0.275399858895276	0.550799717790552	0.724600141104724
22	0.244282657733195	0.48856531546639	0.755717342266805
23	0.195552733794097	0.391105467588193	0.804447266205903
24	0.190833454354318	0.381666908708637	0.809166545645682
25	0.172679559883359	0.345359119766719	0.827320440116641
26	0.410259809112507	0.820519618225015	0.589740190887493
27	0.650717724614009	0.698564550771981	0.34928227538599
28	0.616022869460471	0.767954261079058	0.383977130539529
29	0.587601333883655	0.824797332232689	0.412398666116345
30	0.530161961733775	0.939676076532449	0.469838038266225
31	0.461226081229385	0.922452162458771	0.538773918770615
32	0.417564889484382	0.835129778968764	0.582435110515618
33	0.363524907368916	0.727049814737833	0.636475092631084
34	0.303263024718684	0.606526049437368	0.696736975281316
35	0.259394348659338	0.518788697318676	0.740605651340662
36	0.218216807708644	0.436433615417288	0.781783192291356
37	0.210442187459002	0.420884374918004	0.789557812540998
38	0.23527013281078	0.47054026562156	0.76472986718922
39	0.194109546995081	0.388219093990161	0.805890453004919
40	0.396519774594779	0.793039549189557	0.603480225405221
41	0.328845173413008	0.657690346826017	0.671154826586992
42	0.281083417198912	0.562166834397823	0.718916582801088
43	0.239462674511594	0.478925349023189	0.760537325488406
44	0.206964001911169	0.413928003822338	0.793035998088831
45	0.167190666368228	0.334381332736455	0.832809333631772
46	0.121706464113177	0.243412928226355	0.878293535886823
47	0.189699500068286	0.379399000136573	0.810300499931713
48	0.15984624442984	0.31969248885968	0.84015375557016
49	0.138478525347278	0.276957050694557	0.861521474652722
50	0.127558200089729	0.255116400179458	0.872441799910271
51	0.118774811794071	0.237549623588143	0.881225188205929
52	0.276308027167192	0.552616054334383	0.723691972832808
53	0.355674758032069	0.711349516064138	0.644325241967931
54	0.436136978065995	0.87227395613199	0.563863021934005
55	0.56520603627447	0.869587927451059	0.43479396372553
56	0.513006053010217	0.973987893979565	0.486993946989783
57	0.387741020446858	0.775482040893715	0.612258979553142
58	0.260756892023204	0.521513784046407	0.739243107976796
59	0.260125417744035	0.52025083548807	0.739874582255965

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