Multiple Linear Regression - Estimated Regression Equation
Cons[t] = + 48.8917446449142 + 0.338889029387975Int[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)48.891744644914211.5175014.2458.1e-054.1e-05
Int0.3388890293879750.1495192.26650.0272320.013616
Inv0.2805907973620960.068994.06710.0001487.4e-05


Multiple Linear Regression - Regression Statistics
Multiple R0.738425103738406
R-squared0.545271633831076
Adjusted R-squared0.52931625256199
F-TEST (value)34.1747793196009
F-TEST (DF numerator)2
F-TEST (DF denominator)57
p-value1.76170633636730e-10
Multiple Linear Regression - Residual Statistics
Residual Standard Deviation6.17091580655336
Sum Squared Residuals2170.57150781949


Multiple Linear Regression - Actuals, Interpolation, and Residuals
Time or IndexActualsInterpolation
Forecast
Residuals
Prediction Error
1117123.522333582328-6.52233358232794
2103.8111.466457758790-7.6664577587895
3100.8110.383813295482-9.5838132954825
4110.6108.7506057367601.84939426324015
5104110.989502292454-6.98950229245403
6112.6116.570650556407-3.97065055640725
7107.3114.392991588930-7.09299158893029
898.9113.027245503069-14.1272455030689
9109.8117.247718220725-7.44771822072541
10104.9104.6011809338110.298819066188907
11102.298.22086947092423.97913052907578
12123.9114.8025488912079.0974511087929
13124.9115.4194690035859.48053099641523
14112.7110.1429901134422.55700988655813
15121.9110.52273679442811.3772632055720
16100.6107.587433784893-6.98743378489335
17104.3109.834340236344-5.53434023634358
18120.4122.953142091848-2.55314209184758
19107.5116.850151317493-9.35015131749261
20102.9111.246394155187-8.34639415518683
21125.6121.7819602442253.81803975577496
22107.5105.3412377279012.15876227209909
23108.8104.1146970044444.68530299555617
24128.4120.1457644401318.25423555986905
25121.1118.5260169585482.573983041452
26119.5114.1309802974535.36901970254732
27128.7112.16035338743816.5396466125623
28108.7109.203580405007-0.503580405007264
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
3497.5102.650933960415-5.15093396041515
35107.7104.3840077972203.31599220278032
36127.3118.4553486856598.84465131434085
37117.2112.4037362838514.79626371614926
38119.8115.3612196607394.43878033926101
39116.2112.1385037727234.06149622727696
40111111.575093216265-0.575093216265297
41112.4113.810719663129-1.41071966312929
42130.6125.2004281851175.39957181488324
43109.1112.745185027611-3.64518502761112
44118.8121.018204515506-2.21820451550594
45123.9124.881588339709-0.981588339708932
46101.6105.027186558599-3.42718655859905
47112.8106.6491141127356.15088588726453
48128120.9882961158557.01170388414487
49129.6121.7830502805027.81694971949823
50125.8120.199751416235.60024858377
51119.5115.0620982466724.43790175332751
52115.7118.053421637319-2.35342163731943
53113.6117.933175422619-4.33317542261856
54129.7128.6498456727561.05015432724407
55112119.800004440444-7.80000444044375
56116.8121.924104962821-5.1241049628207
57127129.723769845849-2.72376984584908
58112.9111.9592000423580.940799957641612
59113.3110.7110915676452.58890843235461
60121.7120.9923255083230.707674491676814