Multiple Linear Regression - Estimated Regression Equation
Secpr[t] = + 76.9508311655516 + 0.0273171128015187Afzpr[t] + 12.3664224082476M1[t] + 27.0259492208726M2[t] + 27.3690912174461M3[t] + 25.7722913154589M4[t] + 24.8754300623079M5[t] + 13.6912581958045M6[t] + 13.3984779859362M7[t] + 26.7183798508353M8[t] + 16.1521944823323M9[t] + 21.9568778575105M10[t] + 24.3976771105950M11[t] + 0.171121815953736t + e[t]


Multiple Linear Regression - Ordinary Least Squares
VariableParameterS.D.T-STAT
H0: parameter = 0
2-tail p-value1-tail p-value
(Intercept)76.95083116555163.31803823.191700
Afzpr0.02731711280151870.025691.06340.2930550.146528
M112.36642240824762.5731914.80591.6e-058e-06
M227.02594922087262.69688810.021200
M327.36909121744612.68075710.209500
M425.77229131545892.6782799.622700
M524.87543006230793.2949877.549500
M613.69125819580452.7021845.06677e-063e-06
M713.39847798593622.7126344.93931e-055e-06
M826.71837985083532.66892410.010900
M916.15219448233232.6697056.050200
M1021.95687785751052.6680298.229600
M1124.39767711059502.7135738.99100
t0.1711218159537360.0348264.91361.1e-056e-06


Multiple Linear Regression - Regression Statistics
Multiple R0.917448763333296
R-squared0.841712233341794
Adjusted R-squared0.797930510649099
F-TEST (value)19.2251967618951
F-TEST (DF numerator)13
F-TEST (DF denominator)47
p-value1.50990331349021e-14
Multiple Linear Regression - Residual Statistics
Residual Standard Deviation4.21534951973288
Sum Squared Residuals835.151063955076


Multiple Linear Regression - Actuals, Interpolation, and Residuals
Time or IndexActualsInterpolation
Forecast
Residuals
Prediction Error
186.592.471404107679-5.97140410767898
2104.1107.769175365163-3.6691753651635
3110.9107.6742675622173.22573243778312
4114.5106.0300525737718.46994742622872
5112.2109.8389538616262.36104613837392
696.494.12189698665482.27810301334516
79293.8964335640945-1.89643356409454
8102107.570481900718-5.57048190071753
999.798.10693189471.59306810529995
10102103.153955250580-1.15395525058041
1198.9105.629290755611-6.72929075561101
1287.481.73600423714835.66399576285171
1394.493.51959614802770.880403851972294
14109.3109.2380509426560.0619490573441767
15116.4108.3154346218238.08456537817682
16101107.244879002210-6.2448790022095
17105.5107.745677929800-2.24567792980042
1897.895.2083329849262.59166701507407
1995.594.8981865126810.601813487319091
20113.7108.8727230901214.8272769098794
21103.798.60331825645835.09668174354169
22100.8104.136586220206-3.33658622020570
23113.8108.4558268393395.34417316066118
2484.682.60390333300721.99609666699276
2595.394.88466669687430.415333303125725
26110110.900878021039-0.900878021038933
27107.5110.590165026960-3.09016502696032
28107.6109.134438116845-1.53443811684522
29116110.3837259351985.61627406480226
3096.997.3983803403784-0.498380340378351
319797.443356334553-0.443356334553083
32108.1111.070965579413-2.97096557941350
33101.9100.9627317112800.937268288719855
34107.2106.7281951338400.471804866159551
35110.2110.274361460691-0.0743614606905861
3678.785.5397078679411-6.83970786794111
3796.597.1730556584122-0.673055658412168
38115.2112.6784369731882.52156302681157
39104.7113.351140039964-8.65114003996448
40109.1112.643902020611-3.54390202061101
41108.4112.901578644268-4.50157864426839
4295.599.1158416443645-3.61584164436451
4397.899.2864763574262-1.48647635742622
44115.1113.4112570552741.68874294472572
4596.2102.445265845173-6.24526584517324
46112108.8581448411303.14185515887046
47111.8111.6448954320970.155104567902546
4882.586.9894614664724-4.48946146647238
49100.899.30573707698141.49426292301859
50116114.0134586979531.98654130204668
51116.3115.8689927490350.431007250964857
52116.6113.7467282865632.85327171343702
53112.9114.130063629107-1.23006362910736
54100.9101.655548043676-0.75554804367637
55104.1100.8755472312453.22445276875476
56117.4115.3745723744742.02542762552591
57103.3104.681752292388-1.38175229238826
58111.6110.7231185542440.876881445756102
59115113.6956255122621.30437448773787
6092.688.9309230954313.669076904569
61105.2101.3455403120253.85445968797453