Multiple Linear Regression - Estimated Regression Equation
s[t] = + 4.08121751504731 -0.00104422837773501d[t] + 0.127145947683812V3[t] + e[t]


Multiple Linear Regression - Ordinary Least Squares
VariableParameterS.D.T-STAT
H0: parameter = 0
2-tail p-value1-tail p-value
(Intercept)4.081217515047310.11565135.289100
d-0.001044228377735010.000176-5.928100
V30.1271459476838120.1109751.14570.2558720.127936


Multiple Linear Regression - Regression Statistics
Multiple R0.588993850917756
R-squared0.346913756418928
Adjusted R-squared0.3279837203731
F-TEST (value)18.3261012065205
F-TEST (DF numerator)2
F-TEST (DF denominator)69
p-value4.13507596386253e-07
Multiple Linear Regression - Residual Statistics
Residual Standard Deviation0.433724835818076
Sum Squared Residuals12.9800890911738


Multiple Linear Regression - Actuals, Interpolation, and Residuals
Time or IndexActualsInterpolation
Forecast
Residuals
Prediction Error
133.24165789934834-0.241657899348343
233.56850138157942-0.568501381579417
343.923539030009320.0764609699906813
443.815983507102610.184016492897387
543.332505768211310.667494231788694
643.176915739928790.82308426007121
744.08017328666957-0.0801732866695696
833.28969240472417-0.28969240472417
943.2667193804140.733280619586
1054.064509861003540.935490138996456
1143.772125915237740.227874084762257
1243.593562862645060.406437137354943
1333.15081003048541-0.150810030485414
1433.17065036966238-0.170650369662379
1533.17587151155105-0.175871511551054
1633.06518330351114-0.0651833035111438
1743.41291135329690.587088646703099
1843.519422647825870.480577352174129
1933.20824259126084-0.208242591260840
2033.27716166419135-0.27716166419135
2143.690676101774410.309323898225588
2243.562236011313010.437763988686993
2333.09442169808772-0.094421698087724
2433.18109265343973-0.181092653439729
2533.44632666138442-0.446326661384421
2633.76690477334907-0.766904773349068
2733.16020808588503-0.160208085885029
2833.44945934651763-0.449459346517626
2943.762727859838130.237272140161872
3043.855664185456540.144335814543457
3133.06727176026661-0.0672717602666138
3233.04951987784512-0.0495198778451188
3343.750197119305310.249802880694692
3443.575810980223560.424189019776438
3543.823293105746760.176706894253242
3633.5382187586251-0.538218758625102
3733.36487684792109-0.364876847921091
3833.6603934788201-0.660393478820097
3933.04743142108965-0.0474314210896487
4044.02587341102735-0.0258734110273494
4143.508980364048520.491019635951479
4243.497493851893440.502506148106564
4333.11843895077563-0.118438950775629
4443.862973784100690.137026215899312
4543.541351443758310.458648556241693
4643.678145361241590.321854638758408
4733.85044304356787-0.850443043567868
4833.94860051107496-0.94860051107496
4933.26985206554721-0.269852065547205
5033.74497597741663-0.744975977416633
5133.26960215114735-0.269602151147346
5244.17390392626586-0.173903926265861
5343.724885723839810.275114276160192
5443.353140421366150.646859578633854
5543.951483281808300.0485167181916953
5643.942085226408690.0579147735913102
5743.414749895652510.585250104347488
5843.601666775267080.398333224732922
5943.8856968940110.114303105989001
6044.19165580868736-0.191655808687356
6133.58078220771238-0.580782207712378
6233.93999676965322-0.93999676965322
6333.34896350785521-0.348963507855206
6433.22678878766021-0.226788787660211
6543.650745509020620.349254490979377
6643.607932145533490.392067854466512
6733.21321381874966-0.213213818749656
6843.993252416917700.00674758308229498
6943.53065924558110.469340754418903
7043.839750845390660.160249154609341
7133.33643276732239-0.336432767322386
7233.22261187414927-0.222611874149271