Multiple Linear Regression - Estimated Regression Equation
Y[t] = + 562.191489361702 -23.6530278232406X[t] + e[t]


Multiple Linear Regression - Ordinary Least Squares
VariableParameterS.D.T-STAT
H0: parameter = 0
2-tail p-value1-tail p-value
(Intercept)562.1914893617025.97489694.092300
X-23.653027823240612.836135-1.84270.0704870.035243


Multiple Linear Regression - Regression Statistics
Multiple R0.235171212976024
R-squared0.0553054994126142
Adjusted R-squared0.0390176631955904
F-TEST (value)3.39550930373486
F-TEST (DF numerator)1
F-TEST (DF denominator)58
p-value0.070486897756235
Multiple Linear Regression - Residual Statistics
Residual Standard Deviation40.961821451658
Sum Squared Residuals97316.5073649755


Multiple Linear Regression - Actuals, Interpolation, and Residuals
Time or IndexActualsInterpolation
Forecast
Residuals
Prediction Error
1611562.19148936170248.8085106382982
2594562.19148936170231.8085106382979
3595562.19148936170232.8085106382979
4591562.19148936170228.8085106382979
5589562.19148936170226.8085106382979
6584562.19148936170221.8085106382979
7573562.19148936170210.8085106382979
8567562.1914893617024.80851063829787
9569562.1914893617026.80851063829787
10621562.19148936170258.8085106382979
11629562.19148936170266.8085106382979
12628562.19148936170265.8085106382979
13612562.19148936170249.8085106382979
14595562.19148936170232.8085106382979
15597562.19148936170234.8085106382979
16593562.19148936170230.8085106382979
17590562.19148936170227.8085106382979
18580562.19148936170217.8085106382979
19574562.19148936170211.8085106382979
20573562.19148936170210.8085106382979
21573562.19148936170210.8085106382979
22620562.19148936170257.8085106382979
23626562.19148936170263.8085106382979
24620562.19148936170257.8085106382979
25588562.19148936170225.8085106382979
26566562.1914893617023.80851063829787
27557562.191489361702-5.19148936170213
28561562.191489361702-1.19148936170213
29549562.191489361702-13.1914893617021
30532562.191489361702-30.1914893617021
31526562.191489361702-36.1914893617021
32511562.191489361702-51.1914893617021
33499562.191489361702-63.1914893617021
34555562.191489361702-7.19148936170213
35565562.1914893617022.80851063829787
36542562.191489361702-20.1914893617021
37527562.191489361702-35.1914893617021
38510562.191489361702-52.1914893617021
39514562.191489361702-48.1914893617021
40517562.191489361702-45.1914893617021
41508562.191489361702-54.1914893617021
42493562.191489361702-69.1914893617021
43490562.191489361702-72.1914893617021
44469562.191489361702-93.1914893617021
45478562.191489361702-84.1914893617021
46528562.191489361702-34.1914893617021
47534562.191489361702-28.1914893617021
48518538.538461538462-20.5384615384615
49506538.538461538462-32.5384615384615
50502538.538461538462-36.5384615384615
51516538.538461538462-22.5384615384615
52528538.538461538462-10.5384615384615
53533538.538461538462-5.53846153846154
54536538.538461538462-2.53846153846154
55537538.538461538462-1.53846153846154
56524538.538461538462-14.5384615384615
57536538.538461538462-2.53846153846154
58587538.53846153846248.4615384615385
59597538.53846153846258.4615384615385
60581538.53846153846242.4615384615385


Goldfeld-Quandt test for Heteroskedasticity
p-valuesAlternative Hypothesis
breakpoint indexgreater2-sidedless
50.01911969870863970.03823939741727940.98088030129136
60.007149139417163350.01429827883432670.992850860582837
70.006725359163461960.01345071832692390.993274640836538
80.006704592876393760.01340918575278750.993295407123606
90.004087149149563680.008174298299127360.995912850850436
100.009289861875301650.01857972375060330.990710138124698
110.02112056962945010.04224113925890030.97887943037055
120.0314089670848310.0628179341696620.96859103291517
130.02355369613748260.04710739227496520.976446303862517
140.01381477273624160.02762954547248310.986185227263758
150.00817203062979860.01634406125959720.991827969370201
160.004792746816137890.009585493632275790.995207253183862
170.002849244529707470.005698489059414940.997150755470293
180.001958252905780010.003916505811560020.99804174709422
190.001570343620205170.003140687240410330.998429656379795
200.001258667430772420.002517334861544840.998741332569228
210.00098279647629450.0019655929525890.999017203523705
220.002243949193927430.004487898387854850.997756050806073
230.008908161662134390.01781632332426880.991091838337866
240.02904531567178110.05809063134356220.970954684328219
250.03825080450996640.07650160901993280.961749195490034
260.05505997846925540.1101199569385110.944940021530745
270.08641180396277780.1728236079255560.913588196037222
280.1216002431140900.2432004862281790.87839975688591
290.1818880567881010.3637761135762010.8181119432119
300.2964768612239530.5929537224479060.703523138776047
310.417983428625050.83596685725010.58201657137495
320.5791940383280740.8416119233438520.420805961671926
330.7386463119654490.5227073760691020.261353688034551
340.7563995466860230.4872009066279530.243600453313977
350.8192934694560180.3614130610879640.180706530543982
360.8394505760707870.3210988478584270.160549423929213
370.850404772768510.2991904544629810.149595227231490
380.8644671488009740.2710657023980520.135532851199026
390.8658964967955840.2682070064088320.134103503204416
400.8615796289828730.2768407420342550.138420371017127
410.8558460599677130.2883078800645740.144153940032287
420.8596792003565360.2806415992869280.140320799643464
430.8600980448664980.2798039102670030.139901955133502
440.9103013995940780.1793972008118440.0896986004059222
450.9429963289644220.1140073420711570.0570036710355784
460.9130933941551270.1738132116897450.0869066058448726
470.8686776021384550.262644795723090.131322397861545
480.8236387891671840.3527224216656320.176361210832816
490.8086072903710210.3827854192579580.191392709628979
500.8265152797348840.3469694405302320.173484720265116
510.8068617618041610.3862764763916780.193138238195839
520.7499864819682340.5000270360635320.250013518031766
530.6700334773492160.6599330453015670.329966522650784
540.5707625230049710.8584749539900570.429237476995029
550.4640697445735040.9281394891470090.535930255426496


Meta Analysis of Goldfeld-Quandt test for Heteroskedasticity
Description# significant tests% significant testsOK/NOK
1% type I error level80.156862745098039NOK
5% type I error level180.352941176470588NOK
10% type I error level210.411764705882353NOK