Multiple Linear Regression - Estimated Regression Equation
Y[t] = + 13.0633214285714 -1.61912500000001X[t] + 17.0792678571429M1[t] + 14.6398392857143M2[t] + 18.3048392857143M3[t] + 15.1356964285714M4[t] + 10.8335535714285M5[t] + 12.0635535714286M6[t] + 6.52326785714285M7[t] + 5.04398214285713M8[t] + 7.39914285714285M9[t] + 10.0645714285714M10[t] + 5.52071428571428M11[t] + e[t]


Multiple Linear Regression - Ordinary Least Squares
VariableParameterS.D.T-STAT
H0: parameter = 0
2-tail p-value1-tail p-value
(Intercept)13.06332142857140.75046217.40700
X-1.619125000000010.547688-2.95630.0042240.002112
M117.07926785714291.0409316.407700
M214.63983928571431.0409314.064200
M318.30483928571431.0409317.585100
M415.13569642857141.0409314.540500
M510.83355357142851.0409310.407600
M612.06355357142861.0409311.589200
M76.523267857142851.040936.266800
M85.043982142857131.040934.84567e-064e-06
M97.399142857142851.0379867.128400
M1010.06457142857141.0379869.696300
M115.520714285714281.0379865.31871e-061e-06


Multiple Linear Regression - Regression Statistics
Multiple R0.949194746949424
R-squared0.90097066763638
Adjusted R-squared0.8842333156876
F-TEST (value)53.829940984303
F-TEST (DF numerator)12
F-TEST (DF denominator)71
p-value0
Multiple Linear Regression - Residual Statistics
Residual Standard Deviation1.94189343526714
Sum Squared Residuals267.737458089287


Multiple Linear Regression - Actuals, Interpolation, and Residuals
Time or IndexActualsInterpolation
Forecast
Residuals
Prediction Error
131.51430.14258928571421.37141071428583
227.07127.7031607142857-0.632160714285683
329.46231.3681607142858-1.9061607142858
426.10528.1990178571430-2.09401785714296
522.39723.8968750000001-1.49987500000005
623.84325.126875-1.283875
721.70519.58658928571432.11841071428573
818.08918.1073035714286-0.0183035714285787
920.76420.46246428571430.30153571428572
1025.31623.12789285714292.18810714285715
1117.70418.5840357142857-0.88003571428572
1215.54813.06332142857142.48467857142857
1328.02930.1425892857143-2.1135892857143
1429.38327.70316071428571.67983928571428
1536.43831.36816071428575.0698392857143
1632.03428.19901785714283.83498214285716
1722.67923.896875-1.21787499999999
1824.31925.126875-0.807875000000001
1918.00419.5865892857143-1.58258928571429
2017.53718.1073035714286-0.570303571428571
2120.36620.4624642857143-0.0964642857142865
2222.78223.1278928571429-0.345892857142858
2319.16918.58403571428570.584964285714287
2413.80713.06332142857140.743678571428565
2529.74330.1425892857143-0.399589285714304
2625.59127.7031607142857-2.11216071428572
2729.09631.3681607142857-2.2721607142857
2826.48228.1990178571428-1.71701785714284
2922.40523.896875-1.49187499999999
3027.04425.1268751.917125
3117.9719.5865892857143-1.61658928571429
3218.7318.10730357142860.62269642857143
3319.68420.4624642857143-0.778464285714285
3419.78523.1278928571429-3.34289285714286
3518.47918.5840357142857-0.105035714285713
3610.69813.0633214285714-2.36532142857143
3731.95630.14258928571431.81341071428570
3829.50627.70316071428571.80283928571428
3934.50631.36816071428573.1378392857143
4027.16528.1990178571428-1.03401785714284
4126.73623.8968752.83912500000001
4223.69125.126875-1.435875
4318.15719.5865892857143-1.42958928571429
4417.32818.1073035714286-0.779303571428571
4518.20520.4624642857143-2.25746428571429
4620.99523.1278928571429-2.13289285714286
4717.38218.5840357142857-1.20203571428571
489.36713.0633214285714-3.69632142857143
4931.12430.14258928571430.981410714285696
5026.55127.7031607142857-1.15216071428572
5130.65131.3681607142857-0.7171607142857
5225.85928.1990178571428-2.34001785714284
5325.123.8968751.20312500000001
5425.77825.1268750.651124999999998
5520.41819.58658928571430.831410714285713
5618.68818.10730357142860.580696428571428
5720.42420.4624642857143-0.0384642857142866
5824.77623.12789285714291.64810714285714
5919.81418.58403571428571.22996428571429
6012.73813.0633214285714-0.325321428571436
6131.56630.14258928571431.42341071428570
6230.11127.70316071428572.40783928571428
6330.01931.3681607142857-1.3491607142857
6431.93428.19901785714283.73498214285716
6525.82623.8968751.92912500000001
6626.83525.1268751.708125
6720.20519.58658928571430.618410714285712
6817.78918.1073035714286-0.318303571428569
6920.5218.84333928571431.67666071428571
7022.51821.50876785714291.00923214285714
7115.57216.9649107142857-1.39291071428571
7211.50911.44419642857140.0648035714285629
7325.44728.5234642857143-3.07646428571431
7424.0926.0840357142857-1.99403571428572
7527.78629.7490357142857-1.96303571428570
7626.19526.5798928571428-0.384892857142838
7720.51622.27775-1.76174999999999
7822.75923.50775-0.748749999999998
7919.02817.96746428571431.06053571428571
8016.97116.48817857142860.482821428571429
8120.03618.84333928571431.19266071428571
8222.48521.50876785714290.976232142857142
8318.7316.96491071428571.76508928571429
8414.53811.44419642857143.09380357142856


Goldfeld-Quandt test for Heteroskedasticity
p-valuesAlternative Hypothesis
breakpoint indexgreater2-sidedless
160.9964520771483940.00709584570321110.00354792285160555
170.9913885388758650.01722292224827100.00861146112413552
180.9816248362017430.03675032759651470.0183751637982573
190.9810911247841940.03781775043161110.0189088752158056
200.9651840865333790.06963182693324250.0348159134666213
210.940141384566840.1197172308663180.059858615433159
220.9225048611986160.1549902776027690.0774951388013844
230.8890212279129690.2219575441740620.110978772087031
240.8559526209165440.2880947581669120.144047379083456
250.7985841996919530.4028316006160940.201415800308047
260.797979203934510.4040415921309790.202020796065489
270.8379198599719120.3241602800561760.162080140028088
280.8270539138875610.3458921722248790.172946086112439
290.7917475734208030.4165048531583940.208252426579197
300.794794897026220.4104102059475600.205205102973780
310.7684510370768020.4630979258463960.231548962923198
320.7104919893405250.5790160213189510.289508010659475
330.648908180203130.702183639593740.35109181979687
340.7601463445458930.4797073109082140.239853655454107
350.6965035058102250.606992988379550.303496494189775
360.7432244610991770.5135510778016450.256775538900823
370.7260542221463440.5478915557073120.273945777853656
380.7080497953622010.5839004092755980.291950204637799
390.7901745996811530.4196508006376930.209825400318847
400.748104343247240.5037913135055190.251895656752759
410.8009569675246540.3980860649506910.199043032475346
420.7747439784435350.450512043112930.225256021556465
430.7518674956754590.4962650086490830.248132504324541
440.6990797625588320.6018404748823360.300920237441168
450.7307227444437320.5385545111125350.269277255556268
460.7724368359555470.4551263280889050.227563164044453
470.750374372093530.4992512558129390.249625627906470
480.9180367844866780.1639264310266440.081963215513322
490.8942394854330590.2115210291338820.105760514566941
500.8777641052257850.244471789548430.122235894774215
510.8416892720429060.3166214559141880.158310727957094
520.9315633386925680.1368733226148640.068436661307432
530.9050994623850640.1898010752298730.0949005376149363
540.8674560339967940.2650879320064110.132543966003206
550.8241907002067190.3516185995865630.175809299793281
560.7632496427961690.4735007144076620.236750357203831
570.7828164649117930.4343670701764130.217183535088207
580.7396914175136580.5206171649726830.260308582486342
590.6711274370789360.6577451258421280.328872562921064
600.7961289959977420.4077420080045150.203871004002258
610.780550362071990.4388992758560190.219449637928009
620.7913403176258880.4173193647482250.208659682374112
630.7263526927514070.5472946144971860.273647307248593
640.761148726951770.477702546096460.23885127304823
650.7862232900550950.4275534198898090.213776709944905
660.7906778796104030.4186442407791940.209322120389597
670.6605264969306590.6789470061386820.339473503069341
680.4874979979559590.9749959959119170.512502002044041


Meta Analysis of Goldfeld-Quandt test for Heteroskedasticity
Description# significant tests% significant testsOK/NOK
1% type I error level10.0188679245283019NOK
5% type I error level40.0754716981132075NOK
10% type I error level50.0943396226415094OK