Multiple Linear Regression - Estimated Regression Equation
Weeks[t] = + 4.04968116740675 + 0.0359306835960002UseLimit[t] -0.536696025497456Group[t] -0.112334358160203Used[t] + 0.298455401171062CorrectAnalysis[t] + 0.0612069699040022Useful[t] + 0.0445599453269788Outcome[t] + e[t]


Multiple Linear Regression - Ordinary Least Squares
VariableParameterS.D.T-STAT
H0: parameter = 0
2-tail p-value1-tail p-value
(Intercept)4.049681167406750.037486108.030500
UseLimit0.03593068359600020.0412090.87190.3846740.192337
Group-0.5366960254974560.010966-48.942100
Used-0.1123343581602030.04784-2.34810.02020.0101
CorrectAnalysis0.2984554011710620.079683.74570.0002580.000129
Useful0.06120696990400220.045711.3390.1826290.091315
Outcome0.04455994532697880.0397451.12120.2640520.132026


Multiple Linear Regression - Regression Statistics
Multiple R0.972973478998549
R-squared0.946677390834541
Adjusted R-squared0.944500957807379
F-TEST (value)434.96738885145
F-TEST (DF numerator)6
F-TEST (DF denominator)147
p-value0
Multiple Linear Regression - Residual Statistics
Residual Standard Deviation0.234730944280415
Sum Squared Residuals8.09949658180795


Multiple Linear Regression - Actuals, Interpolation, and Residuals
Time or IndexActualsInterpolation
Forecast
Residuals
Prediction Error
143.593475770832270.406524229167729
244.04968116740675-0.049681167406749
344.04968116740675-0.0496811674067502
444.04968116740675-0.049681167406749
544.04968116740675-0.0496811674067489
644.19137876623373-0.19137876623373
744.04968116740675-0.0496811674067489
843.512985141909290.487014858090707
944.09424111273373-0.0942411127337277
1044.08561185100275-0.0856118510027493
1143.548915825505290.451084174494707
1244.04968116740675-0.0496811674067489
1343.998553779150550.00144622084945182
1443.548915825505290.451084174494707
1544.04311372447753-0.043113724477527
1643.506417698980070.493582301019929
1743.796243838420150.203756161579845
1843.548915825505290.451084174494707
1944.09424111273373-0.0942411127337277
2043.804873100151130.195126899848867
2144.14681882090675-0.146818820906751
2244.07904440807353-0.0790444080735274
2344.15544808263773-0.15544808263773
2444.19137876623373-0.19137876623373
2543.445210729076070.554789270923931
2643.998553779150550.00144622084945182
2744.13017179632973-0.130171796329728
2843.937346809246550.062653190753454
2944.09424111273373-0.0942411127337277
3044.11088813731075-0.110888137310751
3144.04968116740675-0.0496811674067489
3244.08561185100275-0.0856118510027493
3344.14681882090675-0.146818820906751
3443.557545087236270.442454912763728
3544.04968116740675-0.0496811674067489
3644.04968116740675-0.0496811674067489
3743.497788437249090.502211562750908
3843.981906754573520.0180932454264752
3944.15544808263773-0.15544808263773
4043.57419211181330.425807888186705
4144.34156912564859-0.341569125648589
4243.981906754573520.0180932454264752
4344.19137876623373-0.19137876623373
4443.548915825505290.451084174494707
4544.11088813731075-0.110888137310751
4644.15544808263773-0.15544808263773
4744.04968116740675-0.0496811674067489
4844.09424111273373-0.0942411127337277
4944.15544808263773-0.15544808263773
5044.04968116740675-0.0496811674067489
5143.400650783749090.59934921625091
5243.796243838420150.203756161579845
5344.09424111273373-0.0942411127337277
5444.23580221041761-0.235802210417608
5544.04968116740675-0.0496811674067489
5643.445210729076070.554789270923931
5744.04311372447753-0.043113724477527
5844.09424111273373-0.0942411127337277
5944.09424111273373-0.0942411127337277
6043.840803783747130.159196216252867
6143.593475770832270.406524229167728
6243.998553779150550.00144622084945182
6344.04968116740675-0.0496811674067489
6443.593475770832270.406524229167728
6544.04968116740675-0.0496811674067489
6644.04968116740675-0.0496811674067489
6743.760313154824150.239686845175846
6844.08561185100275-0.0856118510027493
6944.09424111273373-0.0942411127337277
7043.937346809246550.062653190753454
7144.04968116740675-0.0496811674067489
7244.09424111273373-0.0942411127337277
7343.981906754573520.0180932454264752
7443.973277492842550.0267225071574537
7544.09424111273373-0.0942411127337277
7643.618752057140270.381247942859726
7744.09424111273373-0.0942411127337277
7844.04311372447753-0.043113724477527
7943.743666130247130.256333869752869
8043.57419211181330.425807888186705
8144.04968116740675-0.0496811674067489
8244.01783743816952-0.0178374381695252
8344.04968116740675-0.0496811674067489
8444.23580221041761-0.235802210417608
8544.15544808263773-0.15544808263773
8644.08561185100275-0.0856118510027493
8721.98338769433990.0166123056600959
8822.40774936167716-0.407749361677157
8921.902897065416930.097102934583075
9021.94745701074390.0525429892560961
9121.964104035320930.0358959646790728
9222.47552377451038-0.475523774510381
9322.00003471891693-3.47189169274441e-05
9421.902897065416930.097102934583075
9522.43959309091438-0.439593090914381
9621.94745701074390.0525429892560961
9722.47552377451038-0.475523774510381
9821.902897065416930.097102934583075
9921.938827749012930.0611722509870747
10021.94745701074390.0525429892560961
10121.98338769433990.0166123056600959
10221.902897065416930.097102934583075
10321.902897065416930.097102934583075
10421.902897065416930.097102934583075
10522.32725873275418-0.327258732754178
10621.902897065416930.097102934583075
10721.902897065416930.097102934583075
10822.36318941635018-0.363189416350178
10921.902897065416930.097102934583075
11021.938827749012930.0611722509870747
11122.42439638625418-0.42439638625418
11222.43959309091438-0.439593090914381
11321.790562707256720.209437292743278
11422.36318941635018-0.363189416350178
11521.938827749012930.0611722509870747
11621.902897065416930.097102934583075
11721.98338769433990.0166123056600959
11821.938827749012930.0611722509870747
11921.902897065416930.097102934583075
12021.94745701074390.0525429892560961
12121.938827749012930.0611722509870747
12221.902897065416930.097102934583075
12322.36318941635018-0.363189416350178
12421.89632962248770.103670377512297
12521.94745701074390.0525429892560961
12622.43959309091438-0.439593090914381
12721.964104035320930.0358959646790728
12821.94745701074390.0525429892560961
12921.902897065416930.097102934583075
13021.94745701074390.0525429892560961
13121.938827749012930.0611722509870747
13221.98338769433990.0166123056600959
13321.826493390852720.173506609147278
13421.902897065416930.097102934583075
13521.902897065416930.097102934583075
13621.902897065416930.097102934583075
13721.93226030608370.0677396939162967
13822.46895633158116-0.468956331581159
13922.43959309091438-0.439593090914381
14021.902897065416930.097102934583075
14122.13357805375476-0.133578053754763
14222.37181867808116-0.371818678081157
14321.938827749012930.0611722509870747
14422.00866398064791-0.00866398064790606
14521.964104035320930.0358959646790728
14622.48415303624136-0.48415303624136
14722.32725873275418-0.327258732754178
14822.43959309091438-0.439593090914381
14921.938827749012930.0611722509870747
15022.00866398064791-0.00866398064790606
15121.94745701074390.0525429892560961
15222.12494879202378-0.124948792023784
15322.18615576192779-0.186155761927786
15421.826493390852720.173506609147278


Goldfeld-Quandt test for Heteroskedasticity
p-valuesAlternative Hypothesis
breakpoint indexgreater2-sidedless
106.46695346734607e-461.29339069346921e-451
111.39232248273992e-632.78464496547983e-631
125.5461659003963e-741.10923318007926e-731
133.90487720819079e-1017.80975441638159e-1011
141.99058066365613e-1023.98116132731227e-1021
157.96110604497203e-1171.59222120899441e-1161
16001
172.10218840268356e-1574.20437680536712e-1571
189.5434169556132e-1621.90868339112264e-1611
195.8944512697498e-1751.17889025394996e-1741
204.24354469334934e-1998.48708938669868e-1991
213.68175934644844e-2327.36351869289689e-2321
221.34830387017113e-2212.69660774034226e-2211
232.44531600340106e-2324.89063200680212e-2321
244.92836261057847e-2509.85672522115695e-2501
259.65809974719614e-2681.93161994943923e-2671
262.12463355965825e-3094.2492671193165e-3091
271.13853933793224e-2952.27707867586447e-2951
283.0583605144698e-3056.11672102893961e-3051
29001
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
8618.29361098568745e-194.14680549284372e-19
87100
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
125100
12611.19276035581804e-3115.96380177909018e-312
12713.13442657243773e-3011.56721328621887e-301
12812.54645466924445e-3141.27322733462223e-314
12911.49710199068133e-2727.48550995340666e-273
13013.94664527616538e-2541.97332263808269e-254
13113.68703784098364e-2371.84351892049182e-237
13211.49375536788557e-2257.46877683942785e-226
13313.89022651446453e-2351.94511325723227e-235
13418.57520165721224e-2024.28760082860612e-202
13511.66846304160778e-1778.34231520803891e-178
13611.8860506121892e-1649.43025306094602e-165
13715.0772093175163e-1612.53860465875815e-161
138100
13911.08074356373443e-1185.40371781867216e-119
14011.22318576109273e-1046.11592880546367e-105
14113.06012946669772e-1021.53006473334886e-102
14211.29814506103928e-746.49072530519638e-75
14316.14475867680309e-643.07237933840155e-64
14412.69177630457406e-461.34588815228703e-46


Meta Analysis of Goldfeld-Quandt test for Heteroskedasticity
Description# significant tests% significant testsOK/NOK
1% type I error level1351NOK
5% type I error level1351NOK
10% type I error level1351NOK