Multiple Linear Regression - Estimated Regression Equation
Cons.[t] = + 48.8917446449141 + 0.338889029387975Inter.[t] + 0.280590797362096Inv.[t] + e[t]


Multiple Linear Regression - Ordinary Least Squares
VariableParameterS.D.T-STAT
H0: parameter = 0
2-tail p-value1-tail p-value
(Intercept)48.891744644914111.5175014.2458.1e-054.1e-05
Inter.0.3388890293879750.1495192.26650.0272320.013616
Inv.0.2805907973620960.068994.06710.0001487.4e-05


Multiple Linear Regression - Regression Statistics
Multiple R0.738425103738406
R-squared0.545271633831076
Adjusted R-squared0.529316252561991
F-TEST (value)34.1747793196009
F-TEST (DF numerator)2
F-TEST (DF denominator)57
p-value1.76170522614427e-10
Multiple Linear Regression - Residual Statistics
Residual Standard Deviation6.17091580655335
Sum Squared Residuals2170.57150781949


Multiple Linear Regression - Actuals, Interpolation, and Residuals
Time or IndexActualsInterpolation
Forecast
Residuals
Prediction Error
1117123.522333582328-6.52233358232784
2103.8111.466457758790-7.66645775878951
3100.8110.383813295483-9.58381329548251
4110.6108.7506057367601.84939426324015
5104110.989502292454-6.98950229245403
6112.6116.570650556407-3.97065055640726
7107.3114.392991588930-7.09299158893029
898.9113.027245503069-14.1272455030689
9109.8117.247718220725-7.44771822072542
10104.9104.6011809338110.298819066188908
11102.298.22086947092423.97913052907578
12123.9114.8025488912079.09745110879289
13124.9115.4194690035859.48053099641522
14112.7110.1429901134422.55700988655813
15121.9110.52273679442811.3772632055720
16100.6107.587433784893-6.98743378489335
17104.3109.834340236344-5.53434023634358
18120.4122.953142091848-2.55314209184759
19107.5116.850151317493-9.35015131749262
20102.9111.246394155187-8.34639415518683
21125.6121.7819602442253.81803975577495
22107.5105.3412377279012.15876227209909
23108.8104.1146970044444.68530299555617
24128.4120.1457644401318.25423555986904
25121.1118.5260169585482.57398304145199
26119.5114.1309802974535.36901970254731
27128.7112.16035338743816.5396466125623
28108.7109.203580405007-0.503580405007262
29105.5111.184115419873-5.68411541987297
30119.8119.965468451850-0.165468451849764
31111.3114.699841035294-3.39984103529407
32110.6111.111218185251-0.511218185250589
33120.1123.120786175807-3.02078617580706
3497.5102.650933960415-5.15093396041514
35107.7104.3840077972203.31599220278033
36127.3118.4553486856598.84465131434084
37117.2112.4037362838514.79626371614926
38119.8115.3612196607394.43878033926101
39116.2112.1385037727234.06149622727697
40111111.575093216265-0.575093216265297
41112.4113.810719663129-1.41071966312928
42130.6125.2004281851175.39957181488324
43109.1112.745185027611-3.64518502761112
44118.8121.018204515506-2.21820451550594
45123.9124.881588339709-0.981588339708936
46101.6105.027186558599-3.42718655859905
47112.8106.6491141127356.15088588726453
48128120.9882961158557.01170388414487
49129.6121.7830502805027.81694971949822
50125.8120.199751416235.60024858376999
51119.5115.0620982466724.43790175332752
52115.7118.053421637319-2.35342163731944
53113.6117.933175422619-4.33317542261856
54129.7128.6498456727561.05015432724406
55112119.800004440444-7.80000444044375
56116.8121.924104962821-5.1241049628207
57127129.723769845849-2.72376984584908
58112.9111.9592000423580.940799957641614
59113.3110.7110915676452.58890843235461
60121.7120.9923255083230.707674491676811