Multiple Linear Regression - Estimated Regression Equation
Yt[t] = + 365.825961771422 -2.39632617023324Xt[t] + e[t]


Multiple Linear Regression - Ordinary Least Squares
VariableParameterS.D.T-STAT
H0: parameter = 0
2-tail p-value1-tail p-value
(Intercept)365.825961771422194.0271181.88540.0643830.032191
Xt-2.396326170233241.775122-1.350.1822770.091139


Multiple Linear Regression - Regression Statistics
Multiple R0.174536352936846
R-squared0.0304629384964952
Adjusted R-squared0.0137467822636762
F-TEST (value)1.82236502651769
F-TEST (DF numerator)1
F-TEST (DF denominator)58
p-value0.182277044430929
Multiple Linear Regression - Residual Statistics
Residual Standard Deviation25.4697443187088
Sum Squared Residuals37625.0567883032


Multiple Linear Regression - Actuals, Interpolation, and Residuals
Time or IndexActualsInterpolation
Forecast
Residuals
Prediction Error
1151.7113.73244866288537.9675513371147
2121.3113.7324486628857.56755133711488
3133112.77391819479220.2260818052082
4119.6112.7739181947926.82608180520817
5122.2111.33612249265210.8638775073481
6117.4111.0964898756296.30351012437146
7106.7110.856857258605-4.1568572586052
887.5109.658694173489-22.1586941734886
981108.939796322419-27.9397963224186
10110.3108.7001637053951.59983629460468
1187108.700163705395-21.7001637053953
1255.7108.460531088372-52.760531088372
13146108.10108216283737.898917837163
14137.5107.33425778836230.1657422116376
15138.5106.13609470324632.3639052967543
16135.6106.11213144154329.4878685584566
17107.3107.2144414798510.085558520149303
1899106.950845601125-7.95084560112504
1991.4106.687249722399-15.2872497223994
2068.4106.303837535162-37.9038375351621
2182.6105.489086637283-22.8890866372828
2298.4105.441160113878-7.0411601138781
2371.3104.530556169189-33.2305561691895
2447.6104.554519430892-56.9545194308918
25130.8104.55451943089226.2454805691082
26113.6103.33239308407310.2676069159272
27125.7102.82916458832422.8708354116761
28113.6102.63745849470510.9625415052948
2997.1103.068797205347-5.96879720534719
30104.4102.6614217564081.73857824359244
3191.8102.349899354277-10.5498993542772
3275.1101.942523905338-26.8425239053376
3389.2101.870634120231-12.6706341202306
34110.2101.7508178117198.4491821882811
3578.4102.254046307468-23.8540463074679
3668.4101.894597381933-33.4945973819329
37122.8101.89459738193320.9054026180671
38129.7100.28905884787729.4109411521234
39159.199.905646660639359.1943533393607
4013999.857720137234739.1422798627653
41102.2102.877091111729-0.677091111728526
42113.6102.68538501811010.9146149818901
4381.5102.182156522361-20.6821565223609
4477.4101.798744335124-24.3987443351236
4587.6101.726854550017-14.1268545500166
46101.2101.631001503207-0.431001503207252
4787.2101.367405624482-14.1674056244816
4864.9101.007956698947-36.1079566989466
49133.1100.69643429681632.4035657031837
5011899.95357318404418.0464268159560
51135.999.402418164890336.4975818351097
52125.799.37845490318826.321545096812
5310898.18029181807149.8197081819286
54128.398.15632855636930.1436714436310
5584.797.8448061542387-13.1448061542387
5686.497.9885857244527-11.5885857244527
5792.298.084438771262-5.88443877126205
5895.897.4134674435967-1.61346744359675
5992.397.7729163691317-5.47291636913175
6054.397.3415776584897-43.0415776584898


Goldfeld-Quandt test for Heteroskedasticity
p-valuesAlternative Hypothesis
breakpoint indexgreater2-sidedless
50.1711005885754010.3422011771508020.8288994114246
60.07347696374087450.1469539274817490.926523036259125
70.03489359940226380.06978719880452770.965106400597736
80.02070432549363540.04140865098727080.979295674506365
90.008932837420565540.01786567484113110.991067162579435
100.01782566473004550.03565132946009100.982174335269955
110.008141554886893970.01628310977378790.991858445113106
120.0284646369456160.0569292738912320.971535363054384
130.3868089800711870.7736179601423730.613191019928813
140.5782226354849760.8435547290300480.421777364515024
150.6953828269390920.6092343461218170.304617173060908
160.7327887658732040.5344224682535920.267211234126796
170.6688574616974940.6622850766050110.331142538302506
180.6037622858964970.7924754282070050.396237714103503
190.5468857693789230.9062284612421530.453114230621077
200.593274398282070.8134512034358610.406725601717931
210.5386595956032530.9226808087934940.461340404396747
220.4587867331576140.9175734663152280.541213266842386
230.444344895422460.888689790844920.55565510457754
240.6285960834188150.742807833162370.371403916581185
250.7056382633946620.5887234732106750.294361736605338
260.6818845119352820.6362309761294360.318115488064718
270.7100558938333420.5798882123333170.289944106166658
280.6720363409159840.6559273181680320.327963659084016
290.6001940820043760.7996118359912480.399805917995624
300.5306717886023660.9386564227952680.469328211397634
310.4579958788589210.9159917577178420.542004121141079
320.4383877271908300.8767754543816610.56161227280917
330.3736454226749040.7472908453498070.626354577325096
340.3218759193674590.6437518387349180.678124080632541
350.2969914499898870.5939828999797750.703008550010113
360.3320408472163160.6640816944326320.667959152783684
370.3216470367673940.6432940735347880.678352963232606
380.3560664649083640.7121329298167290.643933535091636
390.6883765094194760.6232469811610480.311623490580524
400.7823216334743130.4353567330513750.217678366525687
410.7157543553838720.5684912892322560.284245644616128
420.6654565236280250.669086952743950.334543476371975
430.6224541161642370.7550917676715250.377545883835763
440.6128266862311730.7743466275376530.387173313768827
450.5656193199343840.8687613601312330.434380680065616
460.4804808041182310.9609616082364630.519519195881769
470.4754080622745290.9508161245490580.524591937725471
480.9404283829752150.1191432340495690.0595716170247847
490.9259515929882130.1480968140235740.0740484070117868
500.9408423980524340.1183152038951330.0591576019475664
510.901813145008770.1963737099824580.098186854991229
520.8850042279954720.2299915440090570.114995772004528
530.7960741747909230.4078516504181540.203925825209077
540.8627964894937820.2744070210124360.137203510506218
550.7332582602947720.5334834794104560.266741739705228


Meta Analysis of Goldfeld-Quandt test for Heteroskedasticity
Description# significant tests% significant testsOK/NOK
1% type I error level00OK
5% type I error level40.0784313725490196NOK
10% type I error level60.117647058823529NOK