Multiple Linear Regression - Estimated Regression Equation
Y[t] = + 96.9593479050537 -0.353104493599339X[t] + 78.2367269043976M1[t] + 65.5045507310806M2[t] + 80.0304820791604M3[t] + 68.2989565870068M4[t] + 48.9024598680309M5[t] + 54.1156516904293M6[t] + 32.8436739015588M7[t] + 20.6493513373682M8[t] + 28.2559611305234M9[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)96.959347905053774.9084811.29440.2018610.100931
X-0.3531044935993390.680962-0.51850.6065160.303258
M178.23672690439766.1221612.779300
M265.50455073108066.0910710.754200
M380.03048207916046.07277113.178600
M468.29895658700686.07160211.248900
M548.90245986803096.0802238.042900
M654.11565169042936.0749238.90800
M732.84367390155886.0684425.41222e-061e-06
M820.64935133736826.0618583.40640.0013570.000679
M928.25596113052346.0587874.66362.6e-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)31.3472828732364
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
2121.3125.317305909484-4.017305909484
3133139.701995460124-6.70199546012401
4119.6127.970469967970-8.3704699679704
5122.2108.36211055283513.8378894471651
6117.4113.5399919258733.86000807412670
7106.792.23270368764314.4672963123571
887.579.86182887665287.63817112334725
98187.362507321728-6.36250732172802
10110.3104.0218011127416.27819888725919
118784.09098182957442.90901817042556
1255.759.0359252924848-3.33592529248481
13146137.2196865228428.7803134771575
14137.5124.37451691157413.1254830884263
15138.5138.723896012854-0.223896012853871
16135.6126.9888394757648.61116052423572
17107.3107.754770823844-0.454770823844081
1899112.929121151946-13.9291211519465
1991.491.61830186878-0.218301868780043
2068.479.3674825856136-10.9674825856136
2182.686.854036850945-4.25403685094498
2298.4103.541579001446-5.14157900144572
2371.383.4765800107116-12.1765800107116
2447.658.4603649679179-10.8603649679179
25130.8136.697091872315-5.89709187231546
26113.6123.784832407263-10.1848324072628
27125.7138.236611811687-12.5366118116868
28113.6126.476837960045-12.8768379600452
2997.1107.143900049917-10.0439000499172
30104.4112.297064108404-7.89706410840367
3191.890.97918273536520.820817264634755
3275.178.7248324072628-3.62483240726284
3389.286.320849065612.87915093439003
34110.2102.9977980813037.20220191869726
3578.483.1411307417922-4.74113074179218
3668.458.068418980022610.3315810199774
37122.8136.305145884420-13.5051458844202
38129.7123.3363897003926.36361029960832
39159.1137.80582432949621.2941756705044
40139126.0672367474712.93276325253
41102.2107.115651690429-4.91565169042927
42113.6112.3005951533401.29940484666034
4381.590.9544654208133-9.4544654208133
4477.478.7036461376469-1.30364613764686
4587.686.2996627959941.30033720400599
46101.2102.980142856623-1.78014285662278
4787.283.01048207916044.18951792083958
4864.957.93777031739096.96222968260915
49133.1136.128593637621-3.02859363762055
50118123.286955071288-5.28695507128776
51135.9137.731672385840-1.83167238583973
52125.7125.99661584875-0.296615848750113
53108106.4235668829751.57643311702544
54128.3111.63322766043716.6667723395631
5584.790.3153462873985-5.61534628739849
5686.478.1422099928248.25779000717608
5792.285.7629439657236.43705603427699
5895.8102.358678947888-6.55867894788794
5992.382.48082533876149.81917466123859
6054.357.3975204421839-3.09752044218385


Goldfeld-Quandt test for Heteroskedasticity
p-valuesAlternative Hypothesis
breakpoint indexgreater2-sidedless
160.4536650432311990.9073300864623980.546334956768801
170.6967345075802230.6065309848395550.303265492419777
180.8258687214910120.3482625570179760.174131278508988
190.8656790479729720.2686419040540560.134320952027028
200.8872253576663280.2255492846673440.112774642333672
210.8233845857541630.3532308284916730.176615414245837
220.7861058788216430.4277882423567150.213894121178357
230.7754499722463570.4491000555072860.224550027753643
240.7189499987158430.5621000025683140.281050001284157
250.7126169214434530.5747661571130940.287383078556547
260.654870390183250.6902592196335010.345129609816750
270.6674447830560650.665110433887870.332555216943935
280.6827053621570680.6345892756858640.317294637842932
290.6389095792232060.7221808415535890.361090420776794
300.6639101327684640.6721797344630720.336089867231536
310.6205979400162610.7588041199674780.379402059983739
320.5522744779352810.8954510441294390.447725522064719
330.5293131851387150.941373629722570.470686814861285
340.5773036732474420.8453926535051160.422696326752558
350.539003851491350.92199229701730.46099614850865
360.6399876430949590.7200247138100820.360012356905041
370.6288745465495230.7422509069009540.371125453450477
380.6396235892859460.7207528214281080.360376410714054
390.9373299770182240.1253400459635530.0626700229817763
400.963141405935940.07371718812812220.0368585940640611
410.9245775238202760.1508449523594490.0754224761797244
420.9378449673255710.1243100653488570.0621550326744287
430.87546067137320.2490786572535990.124539328626799
440.8457193716256710.3085612567486570.154280628374329


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