Multiple Linear Regression - Estimated Regression Equation
Y[t] = + 44.6238087674328 + 0.648372618794754X[t] + 2.73643325933069M1[t] + 8.11863080589267M2[t] + 5.54052302280312M3[t] + 10.6327205693652M4[t] + 15.9723299978759M5[t] + 11.9014141427661M6[t] + 18.2417059744356M7[t] + 15.2405881180513M8[t] + 8.69991469123985M9[t] -2.07156680759192M10[t] + 2.99600897634725M11[t] + e[t]


Multiple Linear Regression - Ordinary Least Squares
VariableParameterS.D.T-STAT
H0: parameter = 0
2-tail p-value1-tail p-value
(Intercept)44.623808767432811.9670913.72890.0005170.000258
X0.6483726187947540.1011026.41300
M12.736433259330693.5072640.78020.4391740.219587
M28.118630805892673.6536852.2220.0311320.015566
M35.540523022803123.3769091.64070.1075340.053767
M410.63272056936523.4528563.07940.0034590.00173
M515.97232999787593.4587344.6183e-051.5e-05
M611.90141414276613.3530473.54940.0008890.000444
M718.24170597443563.425485.32533e-061e-06
M815.24058811805133.376434.51384.3e-052.1e-05
M98.699914691239853.3667232.58410.0129310.006466
M10-2.071566807591923.440674-0.60210.5500130.275007
M112.996008976347253.3534360.89340.3761870.188094


Multiple Linear Regression - Regression Statistics
Multiple R0.837478632407121
R-squared0.701370459738502
Adjusted R-squared0.625124619671736
F-TEST (value)9.19880296583182
F-TEST (DF numerator)12
F-TEST (DF denominator)47
p-value9.2879609558949e-09
Multiple Linear Regression - Residual Statistics
Residual Standard Deviation5.30132070747676
Sum Squared Residuals1320.88805844553


Multiple Linear Regression - Actuals, Interpolation, and Residuals
Time or IndexActualsInterpolation
Forecast
Residuals
Prediction Error
1104.08111.678805811202-7.59880581120246
2103.86113.430116692514-9.57011669251427
3107.47117.724758668649-10.2547586686491
4111.1117.046439907938-5.94643990793789
5117.33127.184006715530-9.85400671552983
6119.04123.372439907938-4.33243990793787
7123.68127.702776621344-4.02277662134366
8125.9129.369941620282-3.4699416202816
9124.54122.6995936697111.84040633028884
10119.39119.708583596416-0.318583596416448
11118.8119.200154858721-0.400154858720747
12114.81110.5633040988594.24669590114087
13117.9113.7535981913464.14640180865386
14120.53116.8016543102473.72834568975299
15125.15118.6324803349626.51751966503823
16126.49122.9466307389703.54336926102984
17131.85129.5181481431912.33185185680907
18127.4126.0307676449961.36923235500362
19131.08133.213943881099-2.13394388109904
20122.37129.175429834643-6.80542983464318
21124.34127.367876525033-3.0278765250334
22119.61124.182354666100-4.57235466610025
23119.97119.3298293824800.640170617520318
24116.46116.2689831442530.191016855747034
25117.03116.5416004521640.488399547836416
26120.96120.6270527611360.332947238863934
27124.71119.7995510487924.91044895120766
28127.08126.4478428804620.632157119538181
29131.91127.6378675486864.27213245131386
30137.69130.9583995478376.73160045216349
31142.46136.9745050701095.4854949298914
32144.32130.92603590538913.393964094611
33138.06130.0262042620928.03379573790812
34124.45125.090076332413-0.6400763324129
35126.71120.4320628344316.27793716556923
36121.83119.1218226669502.70817733305012
37122.51117.5141593803564.99584061964429
38125.48121.0809135942924.39908640570762
39127.77129.330628545075-1.56062854507522
40128.03128.846821570002-0.816821570002408
41132.84131.9171268327310.922873167268494
42133.41137.766312045181-4.35631204518143
43139.99136.9745050701093.01549492989139
44138.53134.8162716181583.71372838184247
45136.12135.7318833074860.388116692514287
46124.75122.3020740715952.44792592840454
47122.88126.850951760499-3.97095176049883
48121.46126.578107783090-5.11810778308955
49118.4120.431836164932-2.0318361649321
50122.45121.3402626418101.10973735818972
51128.94128.5525814025220.387418597478484
52133.25130.6622649026282.58773509737228
53137.94135.6128507598622.32714924013839
54140.04139.4520808540480.587919145952199
55130.74133.08426935734-2.34426935734009
56131.55138.382321021529-6.83232102152867
57129.47136.704442235678-7.23444223567785
58125.45122.3669113334753.08308866652507
59127.87130.41700116387-2.54700116386997
60124.68126.707782306848-2.02778230684848


Goldfeld-Quandt test for Heteroskedasticity
p-valuesAlternative Hypothesis
breakpoint indexgreater2-sidedless
160.9269419029083010.1461161941833980.073058097091699
170.887067684832010.2258646303359810.112932315167990
180.8202851157202620.3594297685594750.179714884279738
190.887410864065430.2251782718691410.112589135934571
200.9261916561972840.1476166876054320.0738083438027159
210.9772429729122320.04551405417553530.0227570270877676
220.9837022257030430.03259554859391440.0162977742969572
230.975332569240430.04933486151914160.0246674307595708
240.9802563243815560.03948735123688740.0197436756184437
250.9679694538648160.06406109227036730.0320305461351836
260.9495027967816310.1009944064367380.050497203218369
270.9385734261004550.1228531477990900.0614265738995452
280.9164459071005140.1671081857989730.0835540928994865
290.9219158568532620.1561682862934760.0780841431467381
300.8861766660313540.2276466679372910.113823333968646
310.897196989975480.2056060200490400.102803010024520
320.980343604516140.03931279096772230.0196563954838611
330.9796641713490140.04067165730197210.0203358286509860
340.9633328274788740.07333434504225130.0366671725211256
350.9512363193352840.09752736132943150.0487636806647158
360.9290582285022850.1418835429954290.0709417714977147
370.9247363076292980.1505273847414040.0752636923707021
380.8874019843530070.2251960312939870.112598015646993
390.8615321194752640.2769357610494720.138467880524736
400.805583192638710.388833614722580.19441680736129
410.7064965741891770.5870068516216460.293503425810823
420.6924895424519930.6150209150960130.307510457548007
430.7517858128220640.4964283743558730.248214187177936
440.7709296765602680.4581406468794650.229070323439732


Meta Analysis of Goldfeld-Quandt test for Heteroskedasticity
Description# significant tests% significant testsOK/NOK
1% type I error level00OK
5% type I error level60.206896551724138NOK
10% type I error level90.310344827586207NOK