Multiple Linear Regression - Estimated Regression Equation
Investgoed[t] = -19.5460387116700 + 1.05414769523628Uitvoer[t] + e[t]


Multiple Linear Regression - Ordinary Least Squares
VariableParameterS.D.T-STAT
H0: parameter = 0
2-tail p-value1-tail p-value
(Intercept)-19.54603871167009.601756-2.03570.046360.02318
Uitvoer1.054147695236280.07384114.275900


Multiple Linear Regression - Regression Statistics
Multiple R0.882302368236196
R-squared0.7784574689952
Adjusted R-squared0.774637770184773
F-TEST (value)203.800746506519
F-TEST (DF numerator)1
F-TEST (DF denominator)58
p-value0
Multiple Linear Regression - Residual Statistics
Residual Standard Deviation8.46545711885406
Sum Squared Residuals4156.5099254071


Multiple Linear Regression - Actuals, Interpolation, and Residuals
Time or IndexActualsInterpolation
Forecast
Residuals
Prediction Error
179.896.2731685639392-16.4731685639392
283.481.37806163025122.02193836974879
3113.6110.1773766641063.42262333589361
4112.9110.5252454035342.37475459646565
5104107.246846071350-3.24684607134953
6109.9102.028814979937.87118502007006
79996.8318668424152.16813315758491
8106.3101.1433309159315.15666908406853
9128.9119.6330814903769.2669185096242
10111.1110.282791433630.81720856636999
11102.9105.707790436305-2.80779043630455
12130115.72219354104914.2778064589508
138798.7714986016498-11.7714986016498
1487.590.6440198713781-3.14401987137813
15117.6120.202321245803-2.60232124580339
16103.4109.608136908679-6.20813690867878
17110.8119.390627520471-8.59062752047147
18112.6111.7480567300080.851943269991563
19102.5107.963666504110-5.46366650411019
20112.4109.6924687242982.70753127570232
21135.6133.8535338991131.74646610088678
22105.1105.444253512495-0.344253512495486
23127.7121.9732893738005.72671062619966
24137124.55595122712912.4440487728708
2591108.395867059157-17.3958670591571
2690.598.1284685075557-7.62846850755571
27122.4122.1524944819900.247505518009512
28123.3125.557391537604-2.2573915376037
29124.3125.778762553603-1.47876255360332
30120106.70923074677913.2907692532210
31118.1118.220523578759-0.12052357875919
32119115.6800276332403.31997236676024
33142.7135.8880389509196.81196104908078
34123.6115.8276083105737.77239168942717
35129.6124.7667807661764.83321923382351
36151.6132.19852201759219.4014779824078
37110.4123.438554670179-13.0385546701787
3899.2109.565971000869-10.3659710008693
39130.5124.692990427515.80700957249005
40136.2141.78072456729-5.58072456729002
41129.7130.891378875499-1.19137887549928
42128110.59903574220117.4009642577991
43121.6132.641264049591-11.0412640495915
44135.8134.5176469471121.28235305288795
45143.8136.0567025821577.74329741784297
46147.5147.546912460232-0.04691246023245
47136.2135.8353315661570.364668433842576
48156.6154.4410383870782.15896161292226
49123.3143.467360879668-20.1673608796681
50104.5113.487400427148-8.9874004271483
51139.8146.334642610711-6.53464261071074
52136.5142.950828509002-6.45082850900229
53112.1110.3354988183921.76450118160818
54118.599.64644118869618.8535588113041
5594.496.8845742271769-2.4845742271769
56102.3100.1735150363142.12648496368591
57111.4109.5238050930601.87619490694012
5899.2101.607155901835-2.40715590183544
5987.898.3603810005077-10.5603810005077
60115.8113.3187367959102.4812632040895


Goldfeld-Quandt test for Heteroskedasticity
p-valuesAlternative Hypothesis
breakpoint indexgreater2-sidedless
50.6898852785679490.6202294428641010.310114721432051
60.6812805911788150.6374388176423690.318719408821185
70.5578535054579640.8842929890840710.442146494542036
80.467685926068410.935371852136820.53231407393159
90.3998400242394860.7996800484789720.600159975760514
100.2964222761718370.5928445523436740.703577723828163
110.2290829889293580.4581659778587150.770917011070642
120.2900259867394720.5800519734789440.709974013260528
130.3759543100060260.7519086200120520.624045689993974
140.2903296445645930.5806592891291850.709670355435407
150.2790250336393440.5580500672786890.720974966360656
160.2666235887527070.5332471775054140.733376411247293
170.3174688761195490.6349377522390980.682531123880451
180.2436152317117480.4872304634234950.756384768288252
190.2072722210343550.4145444420687110.792727778965645
200.1565117834288640.3130235668577270.843488216571136
210.1131879679867840.2263759359735690.886812032013216
220.07827493866743130.1565498773348630.921725061332569
230.05912844582951140.1182568916590230.940871554170489
240.07621415660881260.1524283132176250.923785843391187
250.2387494233162740.4774988466325480.761250576683726
260.2251070989182040.4502141978364080.774892901081796
270.1731896147237440.3463792294474870.826810385276256
280.1391324373926610.2782648747853210.86086756260734
290.1058388029538970.2116776059077930.894161197046103
300.1678336922062770.3356673844125540.832166307793723
310.1246977672842610.2493955345685220.87530223271574
320.09230484141517220.1846096828303440.907695158584828
330.07534058151462840.1506811630292570.924659418485372
340.06720754587363620.1344150917472720.932792454126364
350.04967983738603460.09935967477206930.950320162613965
360.1747036202749230.3494072405498460.825296379725077
370.2831451573955560.5662903147911130.716854842604444
380.3309136944339380.6618273888678760.669086305566062
390.2907992844329180.5815985688658360.709200715567082
400.2744299106399390.5488598212798780.725570089360061
410.2164687848217170.4329375696434340.783531215178283
420.4417447475676930.8834894951353850.558255252432307
430.4854290920887170.9708581841774340.514570907911283
440.4105413322889960.8210826645779930.589458667711004
450.4364399212661790.8728798425323580.563560078733821
460.3812978534382210.7625957068764410.61870214656178
470.3193458813553410.6386917627106820.68065411864466
480.3879287166384510.7758574332769020.612071283361549
490.569876340637980.860247318724040.43012365936202
500.5658491724253930.8683016551492130.434150827574607
510.4622936332618490.9245872665236990.537706366738151
520.3877377331491690.7754754662983380.612262266850831
530.2715444102710270.5430888205420530.728455589728973
540.9102014449065250.1795971101869500.0897985550934752
550.8203902702758830.3592194594482340.179609729724117


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