Multiple Linear Regression - Estimated Regression Equation
inv[t] = -68.9708525393686 + 1.58049859530267cons[t] + e[t]


Multiple Linear Regression - Ordinary Least Squares
VariableParameterS.D.T-STAT
H0: parameter = 0
2-tail p-value1-tail p-value
(Intercept)-68.970852539368622.08574-3.12290.0027930.001397
cons1.580498595302670.18768.424800


Multiple Linear Regression - Regression Statistics
Multiple R0.741829610929678
R-squared0.550311171652077
Adjusted R-squared0.542557915990906
F-TEST (value)70.978076269054
F-TEST (DF numerator)1
F-TEST (DF denominator)58
p-value1.19335652470909e-11
Multiple Linear Regression - Residual Statistics
Residual Standard Deviation12.0632206961269
Sum Squared Residuals8440.23502668097


Multiple Linear Regression - Actuals, Interpolation, and Residuals
Time or IndexActualsInterpolation
Forecast
Residuals
Prediction Error
183.4102.987394629562-19.5873946295617
2113.6133.965167097494-20.3651670974937
3112.9122.427527351784-9.52752735178425
4104119.8987295993-15.8987295993
5109.9134.439316676085-24.5393166760845
699102.829344770031-3.82934477003122
7106.397.77174926506278.5282507349373
8128.9120.3728791778918.52712082210921
9111.1106.9386411178184.16135888218185
10102.9105.832292101106-2.93229210110627
11130120.8470287564829.1529712435184
128785.12776050264141.87223949735863
1387.5101.248846174729-13.7488461747286
14117.6132.226618642661-14.6266186426608
15103.4116.263582830104-12.8635828301039
16110.8120.372879177891-9.5728791778908
17112.6114.683084234801-2.08308423480122
18102.5106.464491539227-3.96449153922735
19112.4108.6771895726513.72281042734892
20135.6137.442264007160-1.84226400715958
21105.1103.4615442081521.63845579184772
22127.7118.7923805825888.90761941741187
23137126.85292341863210.1470765813683
249191.6078047433823-0.607804743382288
2590.5109.309389010772-18.8093890107721
26122.4133.332967659373-10.9329676593727
27123.3135.861765411857-12.5617654118569
28124.3129.855870749707-5.55587074970679
29120119.89872959930.101270400699997
30118.1113.8928349371504.20716506285011
31119110.5737878870148.42621211298573
32142.7136.0198152713876.68018472861282
33123.6108.0449901345315.5550098654700
34129.6115.63138339198313.9686166080172
35151.6131.7524690640719.84753093593
36110.4108.2030399940602.19696000593973
3799.2111.522087044196-12.3220870441959
38130.5122.4275273517848.07247264821574
39136.2139.022762602462-2.82276260246225
40129.7128.5914718734651.10852812653533
41128121.3211783350726.67882166492759
42121.6117.0538321277554.54616787224478
43135.8116.73773240869519.0622675913053
44143.8121.63727805413322.1627219458671
45147.5132.54271836172114.9572816382787
46136.2108.51913971312127.6808602868792
47156.6127.80122257581328.7987774241867
48123.3113.10258563949910.1974143605014
49104.596.50735038882067.99264961117944
50139.8137.9164135857501.88358641424962
51136.5135.2295659737361.27043402626416
52112.1110.4157380274841.68426197251598
53118.5129.539771030646-11.0397710306463
5494.4101.090796315198-6.69079631519827
55102.3100.1424971580172.15750284198331
56111.4123.217776649436-11.8177766494356
5799.2105.990341960637-6.79034196063655
5887.899.0361481413048-11.2361481413048
59115.8118.476280863528-2.6762808635276
6079.796.3493005292903-16.6493005292903


Goldfeld-Quandt test for Heteroskedasticity
p-valuesAlternative Hypothesis
breakpoint indexgreater2-sidedless
50.1883136903130870.3766273806261740.811686309686913
60.1843924480242320.3687848960484630.815607551975768
70.2982989183113520.5965978366227040.701701081688648
80.617034981355060.765930037289880.38296501864494
90.5490073278530920.9019853442938170.450992672146908
100.4345050800521050.8690101601042090.565494919947895
110.5770138386068380.8459723227863240.422986161393162
120.4900874078827850.9801748157655710.509912592117215
130.5045759412288330.9908481175423340.495424058771167
140.4525947709561360.9051895419122710.547405229043864
150.4077920540752760.8155841081505510.592207945924724
160.3435729087546500.68714581750930.65642709124535
170.2814024173943310.5628048347886620.718597582605669
180.2159858385091760.4319716770183530.784014161490824
190.1849345418114520.3698690836229040.815065458188548
200.1873968414298610.3747936828597230.812603158570139
210.1415785768241940.2831571536483880.858421423175806
220.1705833698280390.3411667396560770.829416630171961
230.2216243715826840.4432487431653680.778375628417316
240.167316383272540.334632766545080.83268361672746
250.2438837201139150.487767440227830.756116279886085
260.2258945863810090.4517891727620180.774105413618991
270.2331369572140680.4662739144281360.766863042785932
280.2058860105904900.4117720211809810.79411398940951
290.1687198763835750.3374397527671490.831280123616425
300.1408558323639320.2817116647278650.859144167636068
310.1319493523481750.2638987046963500.868050647651825
320.1337627600750170.2675255201500340.866237239924983
330.17844854151220.35689708302440.8215514584878
340.2066900121996830.4133800243993670.793309987800317
350.3195605632855870.6391211265711730.680439436714413
360.2557302789973200.5114605579946390.74426972100268
370.2681123064198760.5362246128397510.731887693580124
380.2312168780118350.462433756023670.768783121988165
390.2029124799441240.4058249598882470.797087520055876
400.1610255217089480.3220510434178950.838974478291052
410.1257892531981040.2515785063962080.874210746801896
420.09175746701763080.1835149340352620.90824253298237
430.1287317938729390.2574635877458770.871268206127061
440.2112107276953890.4224214553907780.788789272304611
450.2075731173883640.4151462347767280.792426882611636
460.5464337741847640.9071324516304730.453566225815236
470.9288862403984310.1422275192031380.071113759601569
480.9529931421618380.09401371567632370.0470068578381618
490.97940100100820.04119799798359820.0205989989917991
500.9639522785685940.07209544286281140.0360477214314057
510.9487124360509820.1025751278980350.0512875639490177
520.9493529528669370.1012940942661260.0506470471330632
530.9065723500264860.1868552999470270.0934276499735137
540.8192598151238410.3614803697523170.180740184876159
550.904581009825270.1908379803494610.0954189901747304


Meta Analysis of Goldfeld-Quandt test for Heteroskedasticity
Description# significant tests% significant testsOK/NOK
1% type I error level00OK
5% type I error level10.0196078431372549OK
10% type I error level30.0588235294117647OK