Multiple Linear Regression - Estimated Regression Equation

biti[t] = + 110.721882352941 + 0.00529411764705877bikl[t] + 0.0364705882352985M1[t] + 0.0429411764705881M2[t] + 0.0656470588235293M3[t] + 0.0883529411764707M4[t] + 0.111058823529409M5[t] + 0.133764705882351M6[t] -0.0235294117647092M7[t] -0.0188235294117657M8[t] -0.0141176470588251M9[t] -0.00941176470588437M10[t] -0.00470588235294089M11[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)	110.721882352941	0.173513	638.1173	0	0
bikl	0.00529411764705877	0.001239	4.2714	9.1e-05	4.6e-05
M1	0.0364705882352985	0.101882	0.358	0.721937	0.360969
M2	0.0429411764705881	0.106936	0.4016	0.689791	0.344896
M3	0.0656470588235293	0.1068	0.6147	0.541673	0.270836
M4	0.0883529411764707	0.106677	0.8282	0.411642	0.205821
M5	0.111058823529409	0.106569	1.0421	0.302573	0.151287
M6	0.133764705882351	0.106476	1.2563	0.21509	0.107545
M7	-0.0235294117647092	0.106396	-0.2211	0.825915	0.412957
M8	-0.0188235294117657	0.106331	-0.177	0.860232	0.430116
M9	-0.0141176470588251	0.106281	-0.1328	0.89488	0.44744
M10	-0.00941176470588437	0.106245	-0.0886	0.92978	0.46489
M11	-0.00470588235294089	0.106223	-0.0443	0.964847	0.482424

Multiple Linear Regression - Regression Statistics
Multiple R	0.563936182129659
R-squared	0.318024017514976
Adjusted R-squared	0.14753002189372
F-TEST (value)	1.86530919377038
F-TEST (DF numerator)	12
F-TEST (DF denominator)	48
p-value	0.0636996367660261
Multiple Linear Regression - Residual Statistics
Residual Standard Deviation	0.167941691562001
Sum Squared Residuals	1.35381176470589

Multiple Linear Regression - Actuals, Interpolation, and Residuals
Time or Index	Actuals	Interpolation Forecast	Residuals Prediction Error
1	111.4	111.241176470588	0.158823529411790
2	111.5	111.252941176471	0.247058823529409
3	111.6	111.280941176471	0.319058823529404
4	111.7	111.308941176471	0.391058823529412
5	111.8	111.336941176471	0.463058823529409
6	111.9	111.364941176471	0.535058823529417
7	111.1	111.212941176471	-0.112941176470593
8	111.11	111.222941176471	-0.112941176470590
9	111.12	111.232941176471	-0.112941176470584
10	111.13	111.242941176471	-0.112941176470593
11	111.14	111.252941176471	-0.112941176470590
12	111.15	111.262941176471	-0.112941176470585
13	111.16	111.304705882353	-0.144705882352951
14	111.17	111.316470588235	-0.146470588235294
15	111.18	111.344470588235	-0.164470588235289
16	111.19	111.372470588235	-0.182470588235298
17	111.2	111.400470588235	-0.200470588235290
18	111.21	111.428470588235	-0.218470588235300
19	111.22	111.276470588235	-0.0564705882352936
20	111.23	111.286470588235	-0.0564705882352909
21	111.24	111.296470588235	-0.0564705882352994
22	111.25	111.306470588235	-0.0564705882352937
23	111.26	111.316470588235	-0.0564705882352908
24	111.27	111.326470588235	-0.0564705882352996
25	111.28	111.368235294118	-0.0882352941176518
26	111.29	111.38	-0.0899999999999949
27	111.3	111.408	-0.108000000000004
28	111.31	111.436	-0.125999999999999
29	111.32	111.464	-0.144000000000005
30	111.33	111.492	-0.162000000000000
31	111.34	111.34	5.66560687254025e-15
32	111.35	111.35	-5.75234304633909e-15
33	111.36	111.36	0
34	111.37	111.37	5.64132074387658e-15
35	111.38	111.38	-5.68989300120393e-15
36	111.39	111.39	-2.56739074444567e-16
37	111.4	111.431764705882	-0.0317647058823524
38	111.41	111.443529411765	-0.0335294117647097
39	111.42	111.471529411765	-0.0515294117647047
40	111.43	111.499529411765	-0.0695294117646996
41	111.44	111.527529411765	-0.087529411764706
42	111.45	111.555529411765	-0.105529411764701
43	111.46	111.403529411765	0.0564705882352908
44	111.47	111.413529411765	0.0564705882352936
45	111.48	111.423529411765	0.0564705882352994
46	111.49	111.433529411765	0.0564705882352909
47	111.5	111.443529411765	0.0564705882352937
48	111.51	111.453529411765	0.0564705882352991
49	111.52	111.495294117647	0.0247058823529328
50	111.53	111.507058823529	0.0229411764705896
51	111.54	111.535058823529	0.00494117647059468
52	111.55	111.563058823529	-0.0130588235294145
53	111.56	111.591058823529	-0.0310588235294067
54	111.57	111.619058823529	-0.0490588235294159
55	111.58	111.467058823529	0.112941176470590
56	111.59	111.477058823529	0.112941176470593
57	111.6	111.487058823529	0.112941176470585
58	111.61	111.497058823529	0.112941176470590
59	111.62	111.507058823529	0.112941176470593
60	111.63	111.517058823529	0.112941176470584
61	111.64	111.558823529412	0.0811764705882321

Goldfeld-Quandt test for Heteroskedasticity
p-values	Alternative Hypothesis
breakpoint index	greater	2-sided	less
16	1	0	0
17	1	0	0
18	1	0	0
19	1	0	0
20	1	0	0
21	1	0	0
22	1	0	0
23	1	1.99514737223241e-313	9.97573686116206e-314
24	1	8.55081090396699e-306	4.27540545198349e-306
25	1	8.34728714463905e-291	4.17364357231952e-291
26	1	2.53107192430004e-289	1.26553596215002e-289
27	1	9.24996927985933e-263	4.62498463992967e-263
28	1	1.80600591447304e-252	9.03002957236519e-253
29	1	4.5094638548793e-236	2.25473192743965e-236
30	1	2.29643585092949e-240	1.14821792546475e-240
31	1	2.09325831790545e-218	1.04662915895272e-218
32	1	3.54937182832621e-201	1.77468591416310e-201
33	1	2.46653027620546e-186	1.23326513810273e-186
34	1	2.93433837147492e-177	1.46716918573746e-177
35	1	3.94114146968869e-170	1.97057073484435e-170
36	1	1.03772924614298e-161	5.18864623071491e-162
37	1	4.00192806182619e-139	2.00096403091309e-139
38	1	4.19998818971376e-132	2.09999409485688e-132
39	1	2.64986203890171e-114	1.32493101945086e-114
40	1	4.60254732163907e-103	2.30127366081953e-103
41	1	4.24323627005003e-88	2.12161813502501e-88
42	1	3.25256822186091e-76	1.62628411093046e-76
43	1	2.17470625731146e-64	1.08735312865573e-64
44	1	2.03791733501037e-54	1.01895866750518e-54
45	1	6.30886377011875e-39	3.15443188505937e-39

Meta Analysis of Goldfeld-Quandt test for Heteroskedasticity
Description	# significant tests	% significant tests	OK/NOK
1% type I error level	30	1	NOK
5% type I error level	30	1	NOK
10% type I error level	30	1	NOK