Multiple Linear Regression - Estimated Regression Equation
Y[t] = + 3151494.74893363 + 0.86246309155318X[t] + 0.057069425232684Y1[t] -0.00910064194217095Y2[t] + 0.0398947625434009Y3[t] -0.119766534283845Y4[t] -1281242.59489156M1[t] -490303.731102045M2[t] + 268741.195930662M3[t] + 399800.043282565M4[t] -201692.974633398M5[t] + 235204.245288726M6[t] + 645793.772386501M7[t] + 822791.718607045M8[t] -988516.699854688M9[t] + 617633.42020277M10[t] + 439029.687609985M11[t] -17613.1437160194t + e[t]


Multiple Linear Regression - Ordinary Least Squares
VariableParameterS.D.T-STAT
H0: parameter = 0
2-tail p-value1-tail p-value
(Intercept)3151494.74893363935594.4911073.36840.0017440.000872
X0.862463091553180.07858510.974900
Y10.0570694252326840.0802470.71120.4813210.240661
Y2-0.009100641942170950.079353-0.11470.9092980.454649
Y30.03989476254340090.0782270.510.6130080.306504
Y4-0.1197665342838450.074535-1.60690.1163650.058182
M1-1281242.59489156509065.081879-2.51690.016180.00809
M2-490303.731102045480760.953342-1.01980.3142490.157125
M3268741.195930662466154.1490580.57650.5676720.283836
M4399800.043282565440200.2415130.90820.3694850.184742
M5-201692.974633398386083.800141-0.52240.6044190.30221
M6235204.245288726387701.9512210.60670.5476830.273841
M7645793.772386501465962.1424961.38590.1738460.086923
M8822791.718607045379989.3407582.16530.0367090.018355
M9-988516.699854688443508.823958-2.22890.0318150.015907
M10617633.42020277548277.7121821.12650.2670190.133509
M11439029.687609985518014.2625620.84750.402010.201005
t-17613.14371601944517.678382-3.89870.0003810.00019


Multiple Linear Regression - Regression Statistics
Multiple R0.97944652981867
R-squared0.959315504773834
Adjusted R-squared0.941114546383181
F-TEST (value)52.7068676376117
F-TEST (DF numerator)17
F-TEST (DF denominator)38
p-value0
Multiple Linear Regression - Residual Statistics
Residual Standard Deviation485956.855387267
Sum Squared Residuals8973854481319.48


Multiple Linear Regression - Actuals, Interpolation, and Residuals
Time or IndexActualsInterpolation
Forecast
Residuals
Prediction Error
116571771.617255177.5905915-683405.990591523
216198892.6716536303.1443226-337410.474322625
316554237.9317301985.2164883-747747.28648832
419554176.3719822424.0769997-268247.706999724
515903762.3316228176.2145419-324413.884541911
618003781.6517776362.7355703227418.914429663
718329610.3818619246.3232642-289635.943264194
816260733.4216108775.6804458151957.739554234
914851949.215096302.2582609-244353.058260939
1018174068.4417685411.7125495488656.727450484
1118406552.2317987564.0292963418988.200703702
1218466459.4217876294.9950413590164.424958676
1316016524.615413301.3655188603223.234481239
1417428458.3216780019.3652301648438.954769853
1517167191.4217002463.9914871164727.428512923
1619629987.618996870.5035644633117.096435603
1717183629.0116812994.9249657370634.08503428
1818344657.8518132634.9406470212022.909352959
1919301440.7119044395.6015091257045.108490907
2018147463.6818245323.2018766-97859.5218765806
2116192909.2215479850.9243100713058.295689977
2218374420.618210070.1089061164350.491093864
2320515191.9519995441.6895382519750.260461832
2418957217.219055087.5352568-97870.3352567868
2516471529.5316661988.8011975-190459.271197479
2618746813.2719005408.4648715-258595.194871476
2719009453.5918593483.6626872415969.927312781
2819211178.5519819389.4885690-608210.93856897
2920547653.7520657485.5872439-109831.837243946
3019325754.0319337006.8269402-11252.7969402468
3120605542.5820814511.3051512-208968.725151206
3220056915.0620316430.3722358-259515.312235764
3316141449.7216548889.8962452-407440.176245162
3420359793.2220777786.1336861-417992.91368611
3519711553.2719943535.4150014-231982.145001435
3615638580.716516330.1473086-877749.447308581
371438448614452100.9127655-67614.9127655282
3813855616.1214017338.9027664-161722.782766369
3914308336.4614180190.9487047128145.511295329
4015290621.4415751882.1601039-461260.720103876
4114423755.5314173719.3150554250036.214944576
4213779681.4914214193.6732223-434512.183222282
4315686348.9415930217.8604883-243868.920488343
4414733828.1714993193.0620991-259364.892099093
4512522497.9412583763.0011839-61265.0611838757
4616189383.5716424397.8748582-235014.304858239
4716059123.2516765879.5661641-706756.316164099
4816007123.2615621667.9023933385455.357606691
4915806842.3315468585.3899267338256.940073290
5015159951.1315050661.6328094109289.497190618
5115692144.1715653239.750632738904.4193672878
5218908869.1118204266.8407630704602.269236968
5316969881.4217156305.998193-186424.578192998
5416997477.7816991154.62362016323.15637990719
5519858875.6519373447.1695872485428.480412837
5617681170.1317216388.1433428464781.986657203


Goldfeld-Quandt test for Heteroskedasticity
p-valuesAlternative Hypothesis
breakpoint indexgreater2-sidedless
210.3305386605915700.6610773211831390.66946133940843
220.4738820731602610.9477641463205230.526117926839738
230.5557128859354670.8885742281290660.444287114064533
240.5420428249840140.9159143500319730.457957175015986
250.586317100353990.8273657992920190.413682899646010
260.5566790981959490.8866418036081030.443320901804051
270.5433759626086880.9132480747826250.456624037391312
280.6041700635215130.7916598729569730.395829936478487
290.5414988656358150.9170022687283710.458501134364185
300.5206830065775820.9586339868448350.479316993422418
310.4385472029132050.877094405826410.561452797086795
320.358531974665080.717063949330160.64146802533492
330.2599881096898950.5199762193797890.740011890310105
340.2059480075287030.4118960150574050.794051992471297
350.4339922250502890.8679844501005770.566007774949711


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 level00OK