Multiple Linear Regression - Estimated Regression Equation

x[t] = + 0.80040639255172 + 0.379659939126742y[t] + 0.611032021039155z[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)	0.80040639255172	0.653634	1.2245	0.225098	0.112549
y	0.379659939126742	0.015551	24.4133	0	0
z	0.611032021039155	0.015164	40.2942	0	0

Multiple Linear Regression - Regression Statistics
Multiple R	0.998619183453074
R-squared	0.997240273560485
Adjusted R-squared	0.99715664548656
F-TEST (value)	11924.7069406202
F-TEST (DF numerator)	2
F-TEST (DF denominator)	66
p-value	0
Multiple Linear Regression - Residual Statistics
Residual Standard Deviation	0.186084686163247
Sum Squared Residuals	2.28541568801528

Multiple Linear Regression - Actuals, Interpolation, and Residuals
Time or Index	Actuals	Interpolation Forecast	Residuals Prediction Error
1	95.9	96.1705772295294	-0.270577229529418
2	96.06	95.9418348052463	0.118165194753693
3	96.31	96.338584819716	-0.0285848197160194
4	96.34	96.6744736253657	-0.334473625365734
5	96.49	96.8350560665275	-0.345056066527479
6	96.22	96.2588562324994	-0.0388562324994034
7	96.53	96.451893952491	0.0781060475090164
8	96.5	96.3168780588993	0.183121941100678
9	96.77	96.9286145474612	-0.158614547461245
10	96.66	97.0170091689913	-0.357009168991304
11	96.58	96.7205692358264	-0.140569235826396
12	96.63	96.5553593530264	0.074640646973585
13	97.06	97.2335941402154	-0.173594140215355
14	97.73	97.9398355705177	-0.209835570517721
15	98.01	98.3268574713076	-0.316857471307586
16	97.76	97.736049332513	0.0239506674870234
17	97.49	97.4760925146886	0.0139074853113800
18	97.77	97.7546115302636	0.0153884697364248
19	97.96	97.811266096651	0.148733903348932
20	98.23	98.1532652225112	0.0767347774888395
21	98.51	98.7474384053268	-0.237438405326772
22	98.19	98.1799046056122	0.0100953943878467
23	98.37	98.2325837666865	0.137416233313453
24	98.31	97.9461771278475	0.363822872152472
25	98.6	98.4265679474848	0.173432052515173
26	98.97	98.6446989846431	0.325301015356855
27	99.11	98.9914411707012	0.118558829298797
28	99.64	99.547827165526	0.0921728344740407
29	100.03	100.115192915483	-0.085192915483279
30	99.98	99.9771480773852	0.00285192261478946
31	100.32	100.073966739945	0.246033260055199
32	100.44	100.228628422982	0.211371577017525
33	100.51	100.373793229460	0.136206770540282
34	101	100.976106784988	0.0238932150121592
35	100.88	100.766809831900	0.113190168099716
36	100.55	100.284809758967	0.265190241033377
37	100.83	100.382984925374	0.447015074625884
38	101.51	101.241921173574	0.268078826425846
39	102.16	102.238302654745	-0.0783026547447078
40	102.39	102.670473705189	-0.280473705188539
41	102.54	102.794215419166	-0.254215419166107
42	102.85	103.01626943044	-0.166269430439917
43	103.47	103.478466420335	-0.00846642033477176
44	103.57	103.698259141987	-0.128259141987061
45	103.69	103.921859219195	-0.231859219195105
46	103.5	103.516916400815	-0.0169164008153062
47	103.47	103.349855271435	0.120144728564973
48	103.45	103.29456796506	0.155432034940029
49	103.48	103.258021662357	0.221978337642672
50	103.93	103.711720667696	0.218279332303962
51	103.89	103.788662303690	0.101337696309808
52	104.4	104.480663797234	-0.0806637972341706
53	104.79	105.076971894947	-0.286971894947087
54	104.77	104.893073439672	-0.123073439672304
55	105.13	105.103432472126	0.0265675278737328
56	105.26	105.252509496554	0.00749050344552279
57	104.96	105.099446310649	-0.139446310648659
58	104.75	104.727253195580	0.0227468044197707
59	105.01	105.18486441887	-0.174864418869910
60	105.15	105.156574107439	-0.00657410743948088
61	105.2	105.283397197121	-0.083397197121049
62	105.77	105.725296361245	0.0447036387552654
63	105.78	105.644558125859	0.135441874140684
64	106.26	106.423281800275	-0.163281800274884
65	106.13	106.079274134242	0.0507258657583022
66	106.12	106.088823442000	0.0311765580002959
67	106.57	106.463624702369	0.106375297631199
68	106.44	106.243243131753	0.19675686824653
69	106.54	106.726841701819	-0.186841701818964