Multiple Linear Regression - Estimated Regression Equation
Weeks[t] = + 2.14356365765267 + 0.00691809520606492Uselimit[t] + 0.0872694099260552T40[t] -0.147467826531057T20[t] + 0.0316759870773371Used[t] + 0.0585909257182569CorrectAnalysis[t] + 0.0083120029122766Useful[t] -0.00701187238829388`Outcome\r\r`[t] + e[t]


Multiple Linear Regression - Ordinary Least Squares
VariableParameterS.D.T-STAT
H0: parameter = 0
2-tail p-value1-tail p-value
(Intercept)2.143563657652670.3787715.659300
Uselimit0.006918095206064920.0088710.77980.4367610.218381
T400.08726940992605520.0106048.230200
T20-0.1474678265310570.008351-17.659300
Used0.03167598707733710.010353.06050.0026310.001315
CorrectAnalysis0.05859092571825690.0170523.43610.0007690.000384
Useful0.00831200291227660.0097620.85150.3958820.197941
`Outcome\r\r`-0.007011872388293880.008473-0.82760.4092750.204637


Multiple Linear Regression - Regression Statistics
Multiple R0.998802740696495
R-squared0.99760691482283
Adjusted R-squared0.997492177862281
F-TEST (value)8694.73019022995
F-TEST (DF numerator)7
F-TEST (DF denominator)146
p-value0
Multiple Linear Regression - Residual Statistics
Residual Standard Deviation0.0498971761014772
Sum Squared Residuals0.363500314703667


Multiple Linear Regression - Actuals, Interpolation, and Residuals
Time or IndexActualsInterpolation
Forecast
Residuals
Prediction Error
144.05179657460487-0.0517965746048727
243.978457132273180.021542867726821
343.978457132273180.0215428677268202
443.978457132273180.0215428677268212
543.978457132273180.0215428677268211
643.956215161766540.0437848382334565
743.978457132273180.0215428677268211
844.06572654219923-0.065726542199234
943.971445259884880.028554740115115
1043.971539037067110.028460962932886
1144.05880844699317-0.0588084469931692
1243.978457132273180.0215428677268211
1344.00182111643824-0.00182111643823935
1444.05880844699317-0.0588084469931692
1543.994809244049950.00519075595005453
1644.082078653976-0.0820786539760007
1744.02358150543997-0.0235815054399728
1844.05880844699317-0.0588084469931692
1943.971445259884880.028554740115115
2044.02348772825774-0.0234877282577437
2143.963227034154840.0367729658451626
2243.987891148843880.0121088511561194
2343.963133256972610.0368667430273916
2443.956215161766540.0437848382334565
2544.09039065688828-0.0903906568882773
2644.00182111643824-0.00182111643823935
2743.964527164678820.0354728353211799
2844.01013311935052-0.0101331193505159
2943.971445259884880.028554740115115
3043.97014512936090.0298548706390977
3143.978457132273180.0215428677268211
3243.971539037067110.028460962932886
3343.963227034154840.0367729658451626
3444.05871466981094-0.0587146698109402
3543.978457132273180.0215428677268211
3643.978457132273180.0215428677268211
3744.08217243115823-0.0821724311582297
3844.00312124696222-0.00312124696222207
3943.963133256972610.0368667430273916
4044.05741453928696-0.0574145392869575
4143.936218318331690.0637816816683115
4244.00312124696222-0.00312124696222207
4343.956215161766540.0437848382334565
4444.05880844699317-0.0588084469931692
4543.97014512936090.0298548706390977
4643.963133256972610.0368667430273916
4743.978457132273180.0215428677268211
4843.971445259884880.028554740115115
4943.963133256972610.0368667430273916
5043.978457132273180.0215428677268211
5144.09740252927657-0.0974025292765711
5244.02358150543997-0.0235815054399728
5343.971445259884880.028554740115115
5443.951542193632260.048457806367741
5543.978457132273180.0215428677268211
5644.09039065688828-0.0903906568882773
5743.994809244049950.00519075595005453
5843.971445259884880.028554740115115
5943.971445259884880.028554740115115
6044.01656963305168-0.0165696330516789
6144.05179657460488-0.0517965746048753
6244.00182111643824-0.00182111643823935
6343.978457132273180.0215428677268211
6444.05179657460488-0.0517965746048753
6543.978457132273180.0215428677268211
6643.978457132273180.0215428677268211
6744.03049960064604-0.0304996006460376
6843.971539037067110.028460962932886
6943.971445259884880.028554740115115
7044.01013311935052-0.0101331193505159
7143.978457132273180.0215428677268211
7243.971445259884880.028554740115115
7344.00312124696222-0.00312124696222207
7444.00321502414445-0.00321502414445106
7543.971445259884880.028554740115115
7644.05040266689866-0.0504026668986636
7743.971445259884880.028554740115115
7843.994809244049950.00519075595005453
7944.03179973117002-0.0317997311700203
8044.05741453928696-0.0574145392869575
8143.978457132273180.0215428677268211
8243.996203151756160.00379684824384282
8343.978457132273180.0215428677268211
8443.951542193632260.048457806367741
8543.963133256972610.0368667430273916
8643.971539037067110.028460962932886
8722.02643085641692-0.026430856416917
8821.91063901696320.0893609830368034
8922.04036082401128-0.0403608240112758
9022.03334895162298-0.0333489516229819
9122.032048821099-0.0320488210989992
9221.885974902274150.114025097725847
9322.02513072589293-0.0251307258929342
9422.04036082401128-0.0403608240112758
9521.892892997480220.107107002519782
9622.03334895162298-0.0333489516229819
9721.885974902274150.114025097725847
9822.04036082401128-0.0403608240112758
9922.03344272880521-0.0334427288052108
10022.03334895162298-0.0333489516229819
10122.02643085641692-0.026430856416917
10222.04036082401128-0.0403608240112758
10322.04036082401128-0.0403608240112758
10422.04036082401128-0.0403608240112758
10521.924568984557560.0754310154424446
10622.04036082401128-0.0403608240112758
10722.04036082401128-0.0403608240112758
10821.917650889351490.0823491106485096
10922.04036082401128-0.0403608240112758
11022.03344272880521-0.0334427288052108
11121.909338886439210.0906611135607862
11221.892892997480220.107107002519782
11322.07203681108861-0.0720368110886129
11421.917650889351490.0823491106485096
11522.03344272880521-0.0334427288052108
11622.04036082401128-0.0403608240112758
11722.02643085641692-0.026430856416917
11822.03344272880521-0.0334427288052108
11922.04036082401128-0.0403608240112758
12022.03334895162298-0.0333489516229819
12122.03344272880521-0.0334427288052108
12222.04036082401128-0.0403608240112758
12321.917650889351490.0823491106485096
12422.05671293578804-0.0567129357880424
12522.03334895162298-0.0333489516229819
12621.892892997480220.107107002519782
12722.032048821099-0.0320488210989992
12822.03334895162298-0.0333489516229819
12922.04036082401128-0.0403608240112758
13022.03334895162298-0.0333489516229819
13122.03344272880521-0.0334427288052108
13222.02643085641692-0.026430856416917
13322.06511871588255-0.0651187158825479
13422.04036082401128-0.0403608240112758
13522.04036082401128-0.0403608240112758
13622.04036082401128-0.0403608240112758
13722.04979484058198-0.0497948405819774
13821.902327014050920.09767298594908
13921.892892997480220.107107002519782
14022.04036082401128-0.0403608240112758
14122.00643401298206-0.00643401298206208
14221.917557112169260.0824428878307385
14322.03344272880521-0.0334427288052108
14422.02503694871071-0.0250369487107053
14522.032048821099-0.0320488210989992
14621.885881125091920.114118874908076
14721.924568984557560.0754310154424446
14821.892892997480220.107107002519782
14922.03344272880521-0.0334427288052108
15022.02503694871071-0.0250369487107053
15122.03334895162298-0.0333489516229819
15222.00652779016429-0.006527790164291
15321.998215787252010.0017842127479856
15422.06511871588255-0.0651187158825479


Goldfeld-Quandt test for Heteroskedasticity
p-valuesAlternative Hypothesis
breakpoint indexgreater2-sidedless
118.91451204988924e-461.78290240997785e-451
121.46610128453191e-562.93220256906382e-561
135.91051827904491e-811.18210365580898e-801
148.34450190884771e-841.66890038176954e-831
151.490285723565e-972.98057144713001e-971
16001
171.13666093284665e-1352.27332186569329e-1351
182.01572717666455e-1404.0314543533291e-1401
194.33446927744519e-1538.66893855489037e-1531
207.68497037040315e-1761.53699407408063e-1751
215.73721645844938e-2071.14744329168988e-2061
221.49066387677907e-1972.98132775355814e-1971
236.9849123970139e-2081.39698247940278e-2071
241.01212683974462e-2242.02425367948924e-2241
251.20773110720919e-2412.41546221441838e-2411
263.09052883358848e-2816.18105766717696e-2811
272.45053446414041e-2684.90106892828081e-2681
281.65693982740206e-2773.31387965480412e-2771
292.47443230454028e-2964.94886460908057e-2961
303.1406928684659e-3116.28138573693181e-3111
313.23502277914783e-3176.47004555829567e-3171
32001
33001
34001
35001
36001
37001
38001
39001
40001
41001
42001
43001
44001
45001
46001
47001
48001
49001
50001
51001
52001
53001
54001
55001
56001
57001
58001
59001
60001
61001
62001
63001
64001
65001
66001
67001
68001
69001
70001
71001
72001
73001
74001
75001
76001
77001
78001
79001
8019.84778823764973e-814.92389411882487e-81
810.9999865515920042.68968159923314e-051.34484079961657e-05
820.999994110790741.17784185196614e-055.88920925983071e-06
8311.76860226441068e-448.8430113220534e-45
842.09007139446932e-164.18014278893863e-161
8514.80944255334761e-782.40472127667381e-78
8611.72556705773829e-188.62783528869143e-19
877.39654526325061e-201.47930905265012e-191
88100
89100
90100
91100
92100
93100
94100
95100
96100
97100
98100
99100
100100
101100
102100
103100
104100
105100
106100
107100
108100
109100
110100
111100
112100
113100
114100
115100
116100
117100
118100
119100
120100
121100
122100
12313.95252516672997e-3231.97626258336499e-323
12416.52775321623496e-3163.26387660811748e-316
12513.90756809023467e-3011.95378404511733e-301
12611.5052637034234e-2827.52631851711701e-283
12711.22781609509348e-2726.13908047546742e-273
12815.74019652693714e-2852.87009826346857e-285
12912.50350694457748e-2451.25175347228874e-245
13018.13513662891946e-2284.06756831445973e-228
13111.05620997250836e-2115.28104986254182e-212
13211.34876001880076e-2006.74380009400379e-201
13313.54540970738559e-2091.7727048536928e-209
13418.09481675483133e-1784.04740837741567e-178
13515.71364069231766e-1552.85682034615883e-155
13611.81952913608771e-1429.09764568043853e-143
13711.32998912058844e-1386.6499456029422e-139
138100
13915.5078516624098e-992.7539258312049e-99
14011.59895731260546e-857.99478656302731e-86
14119.99636551547207e-824.99818275773603e-82
14216.21920524076175e-573.10960262038087e-57
14316.47139151207899e-463.23569575603949e-46


Meta Analysis of Goldfeld-Quandt test for Heteroskedasticity
Description# significant tests% significant testsOK/NOK
1% type I error level1331NOK
5% type I error level1331NOK
10% type I error level1331NOK