Multiple Linear Regression - Estimated Regression Equation

y[t] = + 0.971620945389681 + 0.0470225468480478x[t] -3.60043907793596e-05t + 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)	0.971620945389681	0.068331	14.2192	0	0
x	0.0470225468480478	0.051485	0.9133	0.364923	0.182462
t	-3.60043907793596e-05	0.001483	-0.0243	0.980718	0.490359

Multiple Linear Regression - Regression Statistics
Multiple R	0.238868245201103
R-squared	0.0570580385654541
Adjusted R-squared	0.0239723557081015
F-TEST (value)	1.72455375370239
F-TEST (DF numerator)	2
F-TEST (DF denominator)	57
p-value	0.187422372675595
Multiple Linear Regression - Residual Statistics
Residual Standard Deviation	0.100099377916006
Sum Squared Residuals	0.571133471172769

Multiple Linear Regression - Actuals, Interpolation, and Residuals
Time or Index	Actuals	Interpolation Forecast	Residuals Prediction Error
1	1.2286	1.01860748784695	0.209992512153049
2	1.1702	1.01857148345617	0.151628516543829
3	1.1692	1.01853547906539	0.150664520934609
4	1.1222	1.01849947467461	0.103700525325388
5	1.1139	1.01846347028383	0.0954365297161675
6	1.1372	1.01842746589305	0.118772534106947
7	1.1663	1.01839146150227	0.147908538497726
8	1.1582	1.01835545711149	0.139844542888506
9	1.0848	1.01831945272072	0.066480547279285
10	1.0807	1.01828344832994	0.0624165516700643
11	1.0773	1.01824744393916	0.0590525560608436
12	1.0622	1.01821143954838	0.0439885604516231
13	1.0183	1.01817543515760	0.000124564842402398
14	1.0014	1.01813943076682	-0.0167394307668182
15	0.9811	1.01810342637604	-0.0370034263760389
16	0.9808	1.01806742198526	-0.0372674219852595
17	0.9778	1.01803141759448	-0.0402314175944802
18	0.9922	1.0179954132037	-0.0257954132037008
19	0.9554	1.01795940881292	-0.0625594088129214
20	0.917	1.01792340442214	-0.100923404422142
21	0.8858	1.01788740003136	-0.132087400031363
22	0.8758	1.01785139564058	-0.142051395640583
23	0.87	1.01781539124980	-0.147815391249804
24	0.8833	1.01777938685902	-0.134479386859025
25	0.8924	1.01774338246825	-0.125343382468245
26	0.8883	1.01770737807747	-0.129407378077466
27	0.9059	1.01767137368669	-0.111771373686687
28	0.9111	1.01763536929591	-0.106535369295907
29	0.9005	0.97057681805708	-0.07007681805708
30	0.8607	0.9705408136663	-0.109840813666301
31	0.8532	0.970504809275521	-0.117304809275521
32	0.8742	0.970468804884742	-0.096268804884742
33	0.892	0.970432800493963	-0.0784328004939626
34	0.9095	0.970396796103183	-0.0608967961031833
35	0.9217	0.970360791712404	-0.0486607917124039
36	0.9383	0.970324787321625	-0.0320247873216245
37	0.8973	0.970288782930845	-0.0729887829308452
38	0.8564	0.970252778540066	-0.113852778540066
39	0.8552	0.970216774149286	-0.115016774149287
40	0.8721	0.970180769758507	-0.0980807697585071
41	0.9041	0.970144765367728	-0.0660447653677277
42	0.9397	0.970108760976948	-0.0304087609769484
43	0.9492	0.97007275658617	-0.020872756586169
44	0.906	0.97003675219539	-0.0640367521953896
45	0.947	0.97000074780461	-0.0230007478046104
46	0.9643	0.969964743413831	-0.00566474341383092
47	0.9834	0.969928739023052	0.0134712609769484
48	1.0137	0.969892734632272	0.0438072653677278
49	1.011	0.969856730241493	0.041143269758507
50	1.0338	0.969820725850714	0.0639792741492865
51	1.0706	0.969784721459934	0.100815278540066
52	1.0501	0.969748717069155	0.0803512829308452
53	1.0604	0.969712712678375	0.0906872873216245
54	1.0353	0.969676708287596	0.065623291712404
55	1.0378	0.969640703896817	0.0681592961031833
56	1.0628	0.969604699506037	0.0931953004939626
57	1.0704	0.969568695115258	0.100831304884742
58	1.0883	0.969532690724479	0.118767309275521
59	1.1208	0.9694966863337	0.151303313666301
60	1.1608	0.96946068194292	0.19133931805708