Multiple Linear Regression - Estimated Regression Equation

CorrectAnalysis[t] = + 0.0342091785256804 + 0.00703473203162012UseLimit[t] -0.165833400963344T20[t] + 0.258868076514766Used[t] -0.0221823235624419Useful[t] -0.0260285290801734`Outcome\r`[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)	0.0342091785256804	0.036606	0.9345	0.353717	0.176858
UseLimit	0.00703473203162012	0.049811	0.1412	0.888155	0.444078
T20	-0.165833400963344	0.058908	-2.8151	0.006556	0.003278
Used	0.258868076514766	0.063587	4.0711	0.000137	6.8e-05
Useful	-0.0221823235624419	0.065011	-0.3412	0.73412	0.36706
`Outcome\r`	-0.0260285290801734	0.050549	-0.5149	0.608469	0.304234

Multiple Linear Regression - Regression Statistics
Multiple R	0.498022418485476
R-squared	0.248026329314123
Adjusted R-squared	0.18638914319233
F-TEST (value)	4.02397229529639
F-TEST (DF numerator)	5
F-TEST (DF denominator)	61
p-value	0.00320542835937931
Multiple Linear Regression - Residual Statistics
Residual Standard Deviation	0.187953151795345
Sum Squared Residuals	2.15490962345804

Multiple Linear Regression - Actuals, Interpolation, and Residuals
Time or Index	Actuals	Interpolation Forecast	Residuals Prediction Error
1	0	0.0152153814771272	-0.0152153814771272
2	0	0.108250057028549	-0.108250057028549
3	0	0.0342091785256803	-0.0342091785256803
4	0	0.00818064944550692	-0.00818064944550692
5	0	0.0120268549632385	-0.0120268549632385
6	0	-0.124589490406043	0.124589490406043
7	0	0.0190615869948587	-0.0190615869948587
8	0	0.0342091785256804	-0.0342091785256804
9	0	-0.131624222437663	0.131624222437663
10	0	0.00818064944550704	-0.00818064944550704
11	0	-0.124589490406043	0.124589490406043
12	0	0.0342091785256804	-0.0342091785256804
13	0	0.0412439105573005	-0.0412439105573005
14	0	0.00818064944550704	-0.00818064944550704
15	0	0.0152153814771272	-0.0152153814771272
16	0	0.0342091785256804	-0.0342091785256804
17	0	0.0342091785256804	-0.0342091785256804
18	0	0.0342091785256804	-0.0342091785256804
19	0	0.127243854077103	-0.127243854077103
20	0	0.0342091785256804	-0.0342091785256804
21	0	0.0342091785256804	-0.0342091785256804
22	0	0.134278586108723	-0.134278586108723
23	0	0.0342091785256804	-0.0342091785256804
24	0	0.0412439105573005	-0.0412439105573005
25	0	0.112096262546281	-0.112096262546281
26	0	-0.131624222437663	0.131624222437663
27	0	0.293077255040446	-0.293077255040446
28	0	0.134278586108723	-0.134278586108723
29	0	0.0412439105573005	-0.0412439105573005
30	0	0.0342091785256804	-0.0342091785256804
31	0	0.0152153814771272	-0.0152153814771272
32	0	0.0412439105573005	-0.0412439105573005
33	0	0.0342091785256804	-0.0342091785256804
34	0	0.00818064944550704	-0.00818064944550704
35	0	0.0412439105573005	-0.0412439105573005
36	0	0.0342091785256804	-0.0342091785256804
37	0	0.134278586108723	-0.134278586108723
38	0	0.244866402397831	-0.244866402397831
39	0	0.00818064944550704	-0.00818064944550704
40	0	-0.131624222437663	0.131624222437663
41	0	0.0120268549632385	-0.0120268549632385
42	0	0.00818064944550704	-0.00818064944550704
43	0	0.0342091785256804	-0.0342091785256804
44	0	0.00818064944550704	-0.00818064944550704
45	0	0.0412439105573005	-0.0412439105573005
46	0	0.0152153814771272	-0.0152153814771272
47	0	0.300111987072067	-0.300111987072067
48	0	0.0342091785256804	-0.0342091785256804
49	0	0.0342091785256804	-0.0342091785256804
50	0	0.0342091785256804	-0.0342091785256804
51	0	0.251901134429451	-0.251901134429451
52	0	0.0860677334661075	-0.0860677334661075
53	0	-0.131624222437663	0.131624222437663
54	0	0.0342091785256804	-0.0342091785256804
55	1	0.267048725960273	0.732951274039727
56	0	0.101215324996929	-0.101215324996929
57	0	0.0412439105573005	-0.0412439105573005
58	0	-0.0140016741169348	0.0140016741169348
59	0	0.0120268549632385	-0.0120268549632385
60	0	-0.157652751517837	0.157652751517837
61	0	0.127243854077103	-0.127243854077103
62	0	-0.131624222437663	0.131624222437663
63	0	0.0412439105573005	-0.0412439105573005
64	0	-0.0140016741169348	0.0140016741169348
65	0	0.00818064944550704	-0.00818064944550704
66	1	0.300111987072066	0.699888012927934
67	1	0.277929663509625	0.722070336490375

Goldfeld-Quandt test for Heteroskedasticity
p-values	Alternative Hypothesis
breakpoint index	greater	2-sided	less
9	0	0	1
10	0	0	1
11	0	0	1
12	0	0	1
13	0	0	1
14	0	0	1
15	0	0	1
16	0	0	1
17	0	0	1
18	0	0	1
19	0	0	1
20	0	0	1
21	0	0	1
22	0	0	1
23	0	0	1
24	0	0	1
25	0	0	1
26	0	0	1
27	0	0	1
28	0	0	1
29	0	0	1
30	0	0	1
31	0	0	1
32	0	0	1
33	0	0	1
34	0	0	1
35	0	0	1
36	0	0	1
37	0	0	1
38	0	0	1
39	0	0	1
40	0	0	1
41	0	0	1
42	0	0	1
43	0	0	1
44	0	0	1
45	0	0	1
46	0	0	1
47	0	0	1
48	0	0	1
49	0	0	1
50	0	0	1
51	0	0	1
52	0	0	1
53	0	0	1
54	0	0	1
55	0.000866206572833931	0.00173241314566786	0.999133793427166
56	0.00353532595022659	0.00707065190045317	0.996464674049773
57	0.00369019460789596	0.00738038921579192	0.996309805392104
58	0.0015606118560831	0.0031212237121662	0.998439388143917

Meta Analysis of Goldfeld-Quandt test for Heteroskedasticity
Description	# significant tests	% significant tests	OK/NOK
1% type I error level	50	1	NOK
5% type I error level	50	1	NOK
10% type I error level	50	1	NOK