Multiple Linear Regression - Estimated Regression Equation
Y[t] = + 96.9593479050561 -0.35310449359936X[t] + 78.2367269043976M1[t] + 65.5045507310806M2[t] + 80.0304820791604M3[t] + 68.2989565870068M4[t] + 48.9024598680309M5[t] + 54.1156516904292M6[t] + 32.8436739015587M7[t] + 20.6493513373682M8[t] + 28.2559611305233M9[t] + 44.9505653708961M10[t] + 25.0197460877297M11[t] + e[t]


Multiple Linear Regression - Ordinary Least Squares
VariableParameterS.D.T-STAT
H0: parameter = 0
2-tail p-value1-tail p-value
(Intercept)96.959347905056174.9084811.29440.2018610.100931
X-0.353104493599360.680962-0.51850.6065160.303258
M178.23672690439766.1221612.779300
M265.50455073108066.0910710.754200
M380.03048207916046.07277113.178600
M468.29895658700686.07160211.248900
M548.90245986803096.0802238.042900
M654.11565169042926.0749238.90800
M732.84367390155876.0684425.41222e-061e-06
M820.64935133736826.0618583.40640.0013570.000679
M928.25596113052336.0587874.66362.6e-051.3e-05
M1044.95056537089616.0573697.420800
M1125.01974608772976.0571174.13060.0001477.4e-05


Multiple Linear Regression - Regression Statistics
Multiple R0.942832350779459
R-squared0.88893284167632
Adjusted R-squared0.86057526933836
F-TEST (value)31.3472828732363
F-TEST (DF numerator)12
F-TEST (DF denominator)47
p-value0
Multiple Linear Regression - Residual Statistics
Residual Standard Deviation9.57635585105123
Sum Squared Residuals4310.20979514027


Multiple Linear Regression - Actuals, Interpolation, and Residuals
Time or IndexActualsInterpolation
Forecast
Residuals
Prediction Error
1151.7138.04948208280113.6505179171987
2121.3125.317305909484-4.01730590948407
3133139.701995460124-6.7019954601241
4119.6127.970469967971-8.3704699679705
5122.2108.36211055283513.837889447165
6117.4113.5399919258733.86000807412662
7106.792.23270368764314.467296312357
887.579.86182887665287.63817112334724
98187.362507321728-6.36250732172808
10110.3104.0218011127416.27819888725912
118784.09098182957452.90901817042554
1255.759.0359252924849-3.33592529248486
13146137.2196865228438.78031347715745
14137.5124.37451691157413.1254830884263
15138.5138.723896012854-0.223896012853891
16135.6126.9888394757648.61116052423572
17107.3107.754770823844-0.454770823844098
1899112.929121151947-13.9291211519465
1991.491.61830186878-0.218301868780076
2068.479.3674825856137-10.9674825856137
2182.686.854036850945-4.25403685094501
2298.4103.541579001446-5.14157900144574
2371.383.4765800107116-12.1765800107116
2447.658.4603649679179-10.8603649679179
25130.8136.697091872315-5.89709187231548
26113.6123.784832407263-10.1848324072628
27125.7138.236611811687-12.5366118116868
28113.6126.476837960045-12.8768379600452
2997.1107.143900049917-10.0439000499172
30104.4112.297064108404-7.89706410840365
3191.890.97918273536520.820817264634766
3275.178.7248324072628-3.62483240726283
3389.286.320849065612.87915093439005
34110.2102.9977980813037.20220191869727
3578.483.1411307417922-4.74113074179219
3668.458.068418980022610.3315810199774
37122.8136.30514588442-13.5051458844202
38129.7123.3363897003926.36361029960836
39159.1137.80582432949621.2941756705044
40139126.0672367474712.9327632525301
41102.2107.115651690429-4.91565169042924
42113.6112.300595153341.29940484666035
4381.590.9544654208133-9.4544654208133
4477.478.7036461376469-1.30364613764686
4587.686.2996627959941.300337204006
46101.2102.980142856623-1.78014285662275
4787.283.01048207916044.18951792083959
4864.957.93777031739086.96222968260916
49133.1136.128593637621-3.02859363762052
50118123.286955071288-5.28695507128772
51135.9137.73167238584-1.83167238583969
52125.7125.99661584875-0.296615848750062
53108106.4235668829741.57643311702551
54128.3111.63322766043716.6667723395632
5584.790.3153462873984-5.61534628739844
5686.478.14220999282398.25779000717611
5792.285.7629439657236.43705603427704
5895.8102.358678947888-6.55867894788789
5992.382.48082533876149.81917466123863
6054.357.3975204421838-3.09752044218383


Goldfeld-Quandt test for Heteroskedasticity
p-valuesAlternative Hypothesis
breakpoint indexgreater2-sidedless
160.4536650432312090.9073300864624180.546334956768791
170.6967345075802230.6065309848395550.303265492419777
180.8258687214910150.3482625570179710.174131278508985
190.8656790479729720.2686419040540560.134320952027028
200.8872253576663280.2255492846673430.112774642333672
210.8233845857541640.3532308284916730.176615414245836
220.7861058788216420.4277882423567160.213894121178358
230.7754499722463570.4491000555072850.224550027753643
240.7189499987158440.5621000025683110.281050001284156
250.7126169214434540.5747661571130920.287383078556546
260.6548703901832490.6902592196335030.345129609816751
270.6674447830560690.6651104338878620.332555216943931
280.6827053621570670.6345892756858650.317294637842933
290.6389095792232080.7221808415535840.361090420776792
300.6639101327684630.6721797344630740.336089867231537
310.620597940016260.758804119967480.37940205998374
320.5522744779352790.8954510441294420.447725522064721
330.5293131851387160.9413736297225680.470686814861284
340.5773036732474430.8453926535051140.422696326752557
350.5390038514913510.9219922970172970.460996148508649
360.6399876430949570.7200247138100860.360012356905043
370.6288745465495230.7422509069009540.371125453450477
380.639623589285940.720752821428120.36037641071406
390.9373299770182230.1253400459635530.0626700229817767
400.963141405935940.07371718812812220.0368585940640611
410.9245775238202760.1508449523594490.0754224761797244
420.9378449673255710.1243100653488580.062155032674429
430.87546067137320.2490786572536010.1245393286268
440.8457193716256680.3085612567486650.154280628374332


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 level10.0344827586206897OK