Multiple Linear Regression - Estimated Regression Equation
weeks[t] = + 3.60756189327435 -0.179786952486727uselimit[t] + 0.399208217517742T40[t] -1.59378146047458T20[t] -0.358443823282814Used[t] + 0.339910161109647CorrectAnalysis[t] + 0.213213949183679useful[t] + 0.144838684250187outcome[t] + e[t]


Multiple Linear Regression - Ordinary Least Squares
VariableParameterS.D.T-STAT
H0: parameter = 0
2-tail p-value1-tail p-value
(Intercept)3.607561893274350.08689441.516900
uselimit-0.1797869524867270.100355-1.79150.0752820.037641
T400.3992082175177420.1426362.79880.0058230.002911
T20-1.593781460474580.105271-15.139800
Used-0.3584438232828140.118178-3.03310.0028660.001433
CorrectAnalysis0.3399101611096470.2003421.69660.0918950.045947
useful0.2132139491836790.1102721.93350.0551060.027553
outcome0.1448386842501870.0961771.5060.1342370.067118


Multiple Linear Regression - Regression Statistics
Multiple R0.829661987508761
R-squared0.688339013516987
Adjusted R-squared0.67339636348013
F-TEST (value)46.0653907987649
F-TEST (DF numerator)7
F-TEST (DF denominator)146
p-value0
Multiple Linear Regression - Residual Statistics
Residual Standard Deviation0.569427070770201
Sum Squared Residuals47.340089583186


Multiple Linear Regression - Actuals, Interpolation, and Residuals
Time or IndexActualsInterpolation
Forecast
Residuals
Prediction Error
143.971821842555560.028178157444444
243.607561893274360.392438106725644
343.607561893274350.392438106725645
443.607561893274360.392438106725645
543.607561893274350.392438106725645
643.785827574221490.214172425778507
743.607561893274360.392438106725645
844.0067701107921-0.00677011079209737
943.752400577524540.247599422475458
1043.427774940787630.572225059212372
1143.826983158305370.17301684169463
1243.607561893274360.392438106725645
1343.462332019175220.537667980824781
1443.826983158305370.17301684169463
1543.607170703425410.392829296574594
1644.00637892094315-0.00637892094314828
1744.02166344531588-0.021663445315881
1843.826983158305370.17301684169463
1943.752400577524540.247599422475458
2044.3462890820528-0.346289082052795
2143.640988889971310.359011110028693
2243.427383750938680.572616249061321
2343.965614526708220.0343854732917796
2443.785827574221490.214172425778507
2543.793164971759470.20683502824053
2643.462332019175220.537667980824781
2743.572613625037810.427386374962185
2843.249118069991540.750881930008459
2943.752400577524540.247599422475458
3043.820775842458030.179224157541966
3143.607561893274360.392438106725645
3243.427774940787630.572225059212372
3343.640988889971310.359011110028693
3444.15160879504228-0.151608795042284
3543.607561893274360.392438106725645
3643.607561893274360.392438106725645
3743.681753284206230.318246715793766
3843.393956754241730.606043245758273
3943.965614526708220.0343854732917796
4044.21998405997578-0.219984059975776
4143.947080864535050.0529191354649474
4243.393956754241730.606043245758273
4343.785827574221490.214172425778507
4443.826983158305370.17301684169463
4543.820775842458030.179224157541966
4643.965614526708220.0343854732917796
4743.607561893274360.392438106725645
4843.752400577524540.247599422475458
4943.965614526708220.0343854732917796
5043.607561893274360.392438106725645
5143.648326287509280.351673712490717
5244.02166344531588-0.021663445315881
5343.752400577524540.247599422475458
5443.589028231101190.410971768898813
5543.607561893274360.392438106725645
5643.793164971759470.20683502824053
5743.607170703425410.392829296574594
5843.752400577524540.247599422475458
5943.752400577524540.247599422475458
6044.16650212956607-0.166502129566068
6143.971821842555560.0281781574444432
6243.462332019175220.537667980824781
6343.607561893274360.392438106725645
6443.971821842555560.0281781574444432
6543.607561893274360.392438106725645
6643.607561893274360.392438106725645
6744.20145039780261-0.201450397802608
6843.427774940787630.572225059212372
6943.752400577524540.247599422475458
7043.249118069991540.750881930008459
7143.607561893274360.392438106725645
7243.752400577524540.247599422475458
7343.393956754241730.606043245758273
7443.069331117504810.930668882495186
7543.752400577524540.247599422475458
7644.36482274422596-0.364822744225963
7743.752400577524540.247599422475458
7843.607170703425410.392829296574594
7944.13307513286912-0.133075132869116
8044.21998405997578-0.219984059975776
8143.607561893274360.392438106725645
8243.2141698017550.785830198245
8343.607561893274360.392438106725645
8443.589028231101190.410971768898813
8543.965614526708220.0343854732917796
8643.427774940787630.572225059212372
8721.978832164563230.0211678354367684
8823.214169801755-1.214169801755
8922.01378043279977-0.0137804327997723
9022.15861911704996-0.158619117049959
9122.22699438198345-0.226994381983451
9223.42777494078763-1.42777494078763
9322.04720742949672-0.0472074294967236
9422.01378043279977-0.0137804327997723
9523.60756189327435-1.60756189327435
9622.15861911704996-0.158619117049959
9723.42777494078763-1.42777494078763
9822.01378043279977-0.0137804327997723
9921.833993480313040.166006519686955
10022.15861911704996-0.158619117049959
10121.978832164563230.0211678354367684
10222.01378043279977-0.0137804327997723
10322.01378043279977-0.0137804327997723
10422.01378043279977-0.0137804327997723
10523.24911806999154-1.24911806999154
10622.01378043279977-0.0137804327997723
10722.01378043279977-0.0137804327997723
10823.06933111750481-1.06933111750481
10922.01378043279977-0.0137804327997723
11021.833993480313040.166006519686955
11123.28254506668849-1.28254506668849
11223.60756189327435-1.60756189327435
11321.655336609516960.344663390483042
11423.06933111750481-1.06933111750481
11521.833993480313040.166006519686955
11622.01378043279977-0.0137804327997723
11721.978832164563230.0211678354367684
11821.833993480313040.166006519686955
11922.01378043279977-0.0137804327997723
12022.15861911704996-0.158619117049959
12121.833993480313040.166006519686955
12222.01378043279977-0.0137804327997723
12323.06933111750481-1.06933111750481
12422.01338924295082-0.0133892429508232
12522.15861911704996-0.158619117049959
12623.60756189327435-1.60756189327435
12722.22699438198345-0.226994381983451
12822.15861911704996-0.158619117049959
12922.01378043279977-0.0137804327997723
13022.15861911704996-0.158619117049959
13121.833993480313040.166006519686955
13221.978832164563230.0211678354367684
13321.475549657030230.524450342969769
13422.01378043279977-0.0137804327997723
13522.01378043279977-0.0137804327997723
13622.01378043279977-0.0137804327997723
13721.83360229046410.166397709535904
13823.42738375093868-1.42738375093868
13923.60756189327435-1.60756189327435
14022.01378043279977-0.0137804327997723
14122.14008545487679-0.140085454876791
14223.39395675424173-1.39395675424173
14321.833993480313040.166006519686955
14422.37183306623364-0.371833066233638
14522.22699438198345-0.226994381983451
14623.75240057752454-1.75240057752454
14723.24911806999154-1.24911806999154
14823.60756189327435-1.60756189327435
14921.833993480313040.166006519686955
15022.37183306623364-0.371833066233638
15122.15861911704996-0.158619117049959
15221.815459818139880.184540181860123
15322.02867376732356-0.0286737673235558
15421.475549657030230.524450342969769


Goldfeld-Quandt test for Heteroskedasticity
p-valuesAlternative Hypothesis
breakpoint indexgreater2-sidedless
115.82205790957935e-491.16441158191587e-481
128.36008829268061e-611.67201765853612e-601
132.98125545625662e-865.96251091251324e-861
143.53464395244205e-907.0692879048841e-901
155.53477348095206e-1051.10695469619041e-1041
16001
172.80648197816894e-1455.61296395633788e-1451
183.9140570204587e-1517.82811404091741e-1511
197.11421089491722e-1651.42284217898344e-1641
201.06346902493561e-1882.12693804987122e-1881
216.76285148983158e-2211.35257029796632e-2201
221.5792121643312e-2123.15842432866239e-2121
236.07137006008037e-2241.21427401201607e-2231
247.18394621088993e-2421.43678924217799e-2411
255.17427314915009e-2601.03485462983002e-2591
261.20339773966256e-3002.40679547932513e-3001
278.0756516919114e-2891.61513033838228e-2881
285.41197745203462e-2991.08239549040692e-2981
296.76474682285835e-3191.35294936457167e-3181
30001
31001
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
80001
81001
82001
83001
84001
85001
8611.72556705773827e-188.62783528869134e-19
872.7196633862642e-085.43932677252839e-080.999999972803366
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
123100
124100
12518.89318162514244e-3234.44659081257122e-323
12612.60949473370241e-3031.3047473668512e-303
12712.40614422669591e-2921.20307211334795e-292
12811.25126173464601e-3036.25630867323005e-304
12916.29350469393274e-2633.14675234696637e-263
13012.25099975117603e-2441.12549987558802e-244
13113.31604677393526e-2271.65802338696763e-227
13214.70558793362626e-2152.35279396681313e-215
13311.42775286175333e-2227.13876430876665e-223
13413.61038382563511e-1901.80519191281755e-190
13512.80213070567385e-1661.40106535283692e-166
13619.74805642865301e-1534.8740282143265e-153
13717.89176785898121e-1483.94588392949061e-148
138100
13913.00597299693505e-1061.50298649846752e-106
14019.65029309880746e-924.82514654940373e-92
14116.55115127186497e-873.27557563593248e-87
14214.17980621595277e-612.08990310797638e-61
14314.8285363108379e-492.41426815541895e-49


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