Multiple Linear Regression - Estimated Regression Equation
WLH[t] = + 120.617021276596 -7.0785597381342X[t] + e[t]


Multiple Linear Regression - Ordinary Least Squares
VariableParameterS.D.T-STAT
H0: parameter = 0
2-tail p-value1-tail p-value
(Intercept)120.6170212765962.5696746.938700
X-7.07855973813425.520537-1.28220.2048660.102433


Multiple Linear Regression - Regression Statistics
Multiple R0.166027423723804
R-squared0.0275651054283635
Adjusted R-squared0.0107989865564388
F-TEST (value)1.64409578859195
F-TEST (DF numerator)1
F-TEST (DF denominator)58
p-value0.204865829975556
Multiple Linear Regression - Residual Statistics
Residual Standard Deviation17.6167715701639
Sum Squared Residuals18000.3371522095


Multiple Linear Regression - Actuals, Interpolation, and Residuals
Time or IndexActualsInterpolation
Forecast
Residuals
Prediction Error
1149120.61702127659628.3829787234043
2139120.61702127659618.3829787234042
3135120.61702127659614.3829787234043
4130120.6170212765969.38297872340425
5127120.6170212765966.38297872340425
6122120.6170212765961.38297872340425
7117120.617021276596-3.61702127659575
8112120.617021276596-8.61702127659574
9113120.617021276596-7.61702127659574
10149120.61702127659628.3829787234043
11157120.61702127659636.3829787234043
12157120.61702127659636.3829787234043
13147120.61702127659626.3829787234043
14137120.61702127659616.3829787234043
15132120.61702127659611.3829787234043
16125120.6170212765964.38297872340425
17123120.6170212765962.38297872340425
18117120.617021276596-3.61702127659575
19114120.617021276596-6.61702127659574
20111120.617021276596-9.61702127659574
21112120.617021276596-8.61702127659574
22144120.61702127659623.3829787234043
23150120.61702127659629.3829787234043
24149120.61702127659628.3829787234043
25134120.61702127659613.3829787234043
26123120.6170212765962.38297872340425
27116120.617021276596-4.61702127659575
28117120.617021276596-3.61702127659575
29111120.617021276596-9.61702127659574
30105120.617021276596-15.6170212765957
31102120.617021276596-18.6170212765957
3295120.617021276596-25.6170212765957
3393120.617021276596-27.6170212765957
34124120.6170212765963.38297872340425
35130120.6170212765969.38297872340425
36124120.6170212765963.38297872340425
37115120.617021276596-5.61702127659574
38106120.617021276596-14.6170212765957
39105120.617021276596-15.6170212765957
40105120.617021276596-15.6170212765957
41101120.617021276596-19.6170212765957
4295120.617021276596-25.6170212765957
4393120.617021276596-27.6170212765957
4484120.617021276596-36.6170212765957
4587120.617021276596-33.6170212765957
46116120.617021276596-4.61702127659575
47120120.617021276596-0.617021276595746
48117113.5384615384623.46153846153846
49109113.538461538462-4.53846153846154
50105113.538461538462-8.53846153846154
51107113.538461538462-6.53846153846154
52109113.538461538462-4.53846153846154
53109113.538461538462-4.53846153846154
54108113.538461538462-5.53846153846154
55107113.538461538462-6.53846153846154
5699113.538461538462-14.5384615384615
57103113.538461538462-10.5384615384615
58131113.53846153846217.4615384615385
59137113.53846153846223.4615384615385
60135113.53846153846221.4615384615385


Goldfeld-Quandt test for Heteroskedasticity
p-valuesAlternative Hypothesis
breakpoint indexgreater2-sidedless
50.1886004992866030.3772009985732070.811399500713397
60.1674184236676980.3348368473353970.832581576332302
70.17770557611870.35541115223740.8222944238813
80.2113480752696130.4226961505392260.788651924730387
90.1970394259509120.3940788519018230.802960574049088
100.2725844535800740.5451689071601470.727415546419926
110.4650072535086560.9300145070173130.534992746491344
120.6285624840371690.7428750319256620.371437515962831
130.6432911004899990.7134177990200020.356708899510001
140.590547044805050.8189059103898990.409452955194950
150.5275165555506740.9449668888986520.472483444449326
160.4735730174704850.947146034940970.526426982529515
170.4263514792090910.8527029584181810.573648520790909
180.4101454875469660.8202909750939330.589854512453034
190.4074965126561530.8149930253123060.592503487343847
200.4182553389452820.8365106778905640.581744661054718
210.4080590795121490.8161181590242980.591940920487851
220.4672866190040310.9345732380080630.532713380995969
230.6394279643147460.7211440713705070.360572035685254
240.8136280585642840.3727438828714310.186371941435716
250.8414888489948250.3170223020103490.158511151005175
260.8332369039151890.3335261921696230.166763096084811
270.8233217503793210.3533564992413580.176678249620679
280.8111955473957140.3776089052085720.188804452604286
290.8055425104427920.3889149791144170.194457489557208
300.8169512862540920.3660974274918160.183048713745908
310.8338152716362680.3323694567274630.166184728363732
320.8800580064373110.2398839871253780.119941993562689
330.9181761089437140.1636477821125710.0818238910562855
340.9132093556393650.1735812887212700.086790644360635
350.9382069050744820.1235861898510350.0617930949255175
360.9486333603858220.1027332792283560.0513666396141778
370.9433833391114380.1132333217771240.0566166608885622
380.9310630213150730.1378739573698530.0689369786849267
390.915802079165390.1683958416692210.0841979208346103
400.8968923504169530.2062152991660930.103107649583047
410.8757307896727960.2485384206544070.124269210327204
420.8633165248027510.2733669503944980.136683475197249
430.8556038030046420.2887923939907160.144396196995358
440.9119960430416050.176007913916790.088003956958395
450.9647238751386740.07055224972265290.0352761248613265
460.941184047068570.1176319058628580.058815952931429
470.9039903438117520.1920193123764960.096009656188248
480.8529110174065590.2941779651868820.147088982593441
490.786404952238920.427190095522160.21359504776108
500.7211944901916290.5576110196167420.278805509808371
510.6346189693958890.7307620612082220.365381030604111
520.5273991714783170.9452016570433670.472600828521683
530.4148119281257740.8296238562515490.585188071874226
540.3121449887148660.6242899774297320.687855011285134
550.2293733553247870.4587467106495750.770626644675213


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