Multiple Linear Regression - Estimated Regression Equation

Y[t] = + 89.9393085089868 + 0.0538729697220403X[t] + 0.163315226142462t + 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)	89.9393085089868	5.91696	15.2003	0	0
X	0.0538729697220403	0.062168	0.8666	0.389318	0.194659
t	0.163315226142462	0.01096	14.9004	0	0

Multiple Linear Regression - Regression Statistics
Multiple R	0.991872264789074
R-squared	0.983810589657807
Adjusted R-squared	0.98332000146562
F-TEST (value)	2005.36948366148
F-TEST (DF numerator)	2
F-TEST (DF denominator)	66
p-value	0
Multiple Linear Regression - Residual Statistics
Residual Standard Deviation	0.450705785203678
Sum Squared Residuals	13.4069565178602

Multiple Linear Regression - Actuals, Interpolation, and Residuals
Time or Index	Actuals	Interpolation Forecast	Residuals Prediction Error
1	95.9	95.3239919605894	0.576008039410576
2	96.06	95.440976432771	0.619023567229067
3	96.31	95.632844332866	0.677155667133924
4	96.34	95.8004693965863	0.5395306034137
5	96.49	95.996108404562	0.493891595438005
6	96.22	96.1114766876518	0.108523312348163
7	96.53	96.2796404810693	0.25035951893072
8	96.5	96.4203290599285	0.079670940071514
9	96.77	96.6218940945736	0.148105905426399
10	96.66	96.7717410782855	-0.111741078285552
11	96.58	96.9372112232169	-0.357211223216894
12	96.63	97.0692801269206	-0.439280126920575
13	97.06	97.2880845118767	-0.228084511876732
14	97.73	97.4761813040913	0.253818695908669
15	98.01	97.6632006369115	0.34679936308851
16	97.76	97.8545298073094	-0.0945298073094129
17	97.49	98.0243097898185	-0.53430978981853
18	97.77	98.2124065820331	-0.442406582033129
19	97.96	98.3724894299923	-0.412489429992271
20	98.23	98.5401144937125	-0.310114493712486
21	98.51	98.759996338063	-0.249996338063089
22	98.19	98.8505830550808	-0.660583055080804
23	98.37	99.0144370109205	-0.64443701092048
24	98.31	99.1405798879547	-0.830579887954736
25	98.6	99.3599230026081	-0.759923002608128
26	98.97	99.5307804445117	-0.560780444511671
27	99.11	99.7129512100568	-0.602951210056846
28	99.64	99.9231359198575	-0.283135919857482
29	100.03	100.108000333889	-0.07800033388876
30	99.98	100.266466992756	-0.286466992756235
31	100.32	100.415775246771	-0.0957752467709772
32	100.44	100.551615258355	-0.111615258355194
33	100.51	100.713853025103	-0.203853025103208
34	101	100.866393657301	0.133606342698733
35	100.88	101.048564422846	-0.168564422846448
36	100.55	101.194640298678	-0.644640298677855
37	100.83	101.384892009681	-0.554892009681336
38	101.51	101.592921800693	-0.0829218006930849
39	102.16	101.838662670510	0.321337329489723
40	102.39	102.005210274836	0.384789725163943
41	102.54	102.205159120390	0.334840879610499
42	102.85	102.336689294396	0.513310705604029
43	103.47	102.460677252641	1.00932274735866
44	103.57	102.628302316362	0.94169768363843
45	103.69	102.740976950965	0.949023049034691
46	103.5	102.907524555291	0.592475444708908
47	103.47	103.102624833570	0.367375166430441
48	103.45	103.254626736070	0.195373263929612
49	103.48	103.433565123432	0.0464348765677601
50	103.93	103.633513968986	0.296486031014313
51	103.89	103.801677762403	0.0883222375968617
52	104.4	104.001626607957	0.398373392043417
53	104.79	104.225279560188	0.56472043981227
54	104.77	104.365968139047	0.404031860953055
55	105.13	104.540057959134	0.589942040866185
56	105.26	104.718457616798	0.541542383201561
57	104.96	104.925948678113	0.0340513218870146
58	104.75	105.076334391522	-0.326334391522152
59	105.01	105.292445127992	-0.282445127992208
60	105.15	105.419665464421	-0.269665464420902
61	105.2	105.637392389983	-0.437392389982628
62	105.77	105.808788561583	-0.0387885615834027
63	105.78	105.966716490754	-0.186716490753655
64	106.26	106.211918630874	0.0480813691263848
65	106.13	106.327286913963	-0.197286913963471
66	106.12	106.499760544959	-0.37976054495867
67	106.57	106.686779877779	-0.116779877778842
68	106.44	106.823158619060	-0.383158619060279
69	106.54	107.020413816128	-0.480413816127617