Multiple Linear Regression - Estimated Regression Equation
Intention_to_Use[t] = -1.6643 + 0.316148Relative_Advantage[t] + 0.105992Perceived_Usefulness[t] + 0.100152Perceived_Ease_of_Use[t] + 0.0338913Information_Quality[t] + 0.0733252System_Quality[t] + 0.87774groupB[t] + 0.283069genderB[t] -0.0145574`Intention_to_Use(t-1)`[t] + 0.0736481`Intention_to_Use(t-1s)`[t] + e[t]
Warning: you did not specify the column number of the endogenous series! The first column was selected by default.


Multiple Linear Regression - Ordinary Least Squares
VariableParameterS.D.T-STAT
H0: parameter = 0		2-tail p-value1-tail p-value
(Intercept)-1.664 0.9235-1.8020e+00 0.07345 0.03673
Relative_Advantage+0.3161 0.06212+5.0890e+00 1.022e-06 5.112e-07
Perceived_Usefulness+0.106 0.06144+1.7250e+00 0.08651 0.04325
Perceived_Ease_of_Use+0.1002 0.05758+1.7390e+00 0.08397 0.04198
Information_Quality+0.03389 0.06477+5.2330e-01 0.6015 0.3008
System_Quality+0.07333 0.03014+2.4330e+00 0.01612 0.008061
groupB+0.8777 0.2522+3.4800e+00 0.0006499 0.0003249
genderB+0.2831 0.2183+1.2970e+00 0.1967 0.09836
`Intention_to_Use(t-1)`-0.01456 0.05437-2.6770e-01 0.7892 0.3946
`Intention_to_Use(t-1s)`+0.07365 0.05341+1.3790e+00 0.1699 0.08493


Multiple Linear Regression - Regression Statistics
Multiple R 0.7592
R-squared 0.5764
Adjusted R-squared 0.552
F-TEST (value) 23.59
F-TEST (DF numerator)9
F-TEST (DF denominator)156
p-value 0
Multiple Linear Regression - Residual Statistics
Residual Standard Deviation 1.317
Sum Squared Residuals 270.5


Menu of Residual Diagnostics
DescriptionLink
HistogramCompute
Central TendencyCompute
QQ PlotCompute
Kernel Density PlotCompute
Skewness/Kurtosis TestCompute
Skewness-Kurtosis PlotCompute
Harrell-Davis PlotCompute
Bootstrap Plot -- Central TendencyCompute
Blocked Bootstrap Plot -- Central TendencyCompute
(Partial) Autocorrelation PlotCompute
Spectral AnalysisCompute
Tukey lambda PPCC PlotCompute
Box-Cox Normality PlotCompute
Summary StatisticsCompute


Multiple Linear Regression - Actuals, Interpolation, and Residuals
Time or IndexActualsInterpolation
Forecast		Residuals
Prediction Error
1 4 6.099-2.099
2 4 6.97-2.97
3 8 7.984 0.01627
4 9 9.555-0.5546
5 10 8.057 1.943
6 8 7.983 0.01696
7 5 6.653-1.653
8 10 8.288 1.712
9 8 8.47-0.4696
10 7 8.204-1.204
11 8 8.752-0.752
12 8 9.579-1.579
13 9 6.273 2.727
14 8 8.02-0.02047
15 6 7.484-1.484
16 8 8.611-0.6113
17 8 7.424 0.5756
18 5 6.782-1.782
19 9 8.602 0.3976
20 8 8.191-0.1915
21 8 6.493 1.507
22 8 8.572-0.5724
23 6 5.82 0.1796
24 6 6.456-0.4564
25 9 7.952 1.048
26 8 7.5 0.5001
27 9 9.205-0.2045
28 10 8.213 1.787
29 8 6.97 1.03
30 8 7.481 0.5186
31 7 6.978 0.02162
32 7 7.217-0.2175
33 10 9.121 0.8789
34 8 6.676 1.324
35 7 6.378 0.6216
36 10 7.49 2.51
37 7 8.308-1.308
38 7 5.911 1.089
39 9 8.476 0.5237
40 9 10.05-1.054
41 8 7.168 0.8321
42 6 7.317-1.317
43 8 7.382 0.6184
44 9 7.693 1.307
45 2 3.54-1.54
46 6 6.169-0.1688
47 8 7.84 0.16
48 8 7.965 0.03495
49 7 7.256-0.2563
50 8 7.33 0.6696
51 6 6.07-0.07044
52 10 7.833 2.167
53 10 8.162 1.838
54 10 7.457 2.543
55 8 7.2 0.8002
56 8 8.434-0.4336
57 7 7.685-0.6855
58 10 8.965 1.035
59 5 6.164-1.164
60 3 3-0.0004473
61 2 3.788-1.788
62 3 4.461-1.461
63 4 5.782-1.782
64 2 3.57-1.57
65 6 5.317 0.6827
66 8 8.444-0.444
67 8 7.258 0.7415
68 5 5.403-0.403
69 10 9.169 0.8306
70 9 10.19-1.188
71 8 9.907-1.907
72 9 8.851 0.1486
73 8 6.512 1.488
74 5 5.88-0.8803
75 7 7.364-0.3637
76 9 9.555-0.5546
77 8 8.255-0.2552
78 4 8.043-4.043
79 7 6.627 0.3729
80 8 8.821-0.8213
81 7 7.612-0.612
82 7 7.446-0.4462
83 9 7.699 1.301
84 6 6.734-0.7341
85 7 7.709-0.7092
86 4 4.916-0.9165
87 6 6.625-0.6255
88 10 6.873 3.127
89 9 8.437 0.5632
90 10 9.848 0.1525
91 8 7.445 0.555
92 4 5.312-1.312
93 8 9.841-1.841
94 5 6.989-1.989
95 8 7.473 0.5274
96 9 7.574 1.426
97 8 7.506 0.4941
98 4 7.852-3.852
99 8 6.749 1.251
100 10 8.534 1.466
101 6 6.339-0.3393
102 7 6.577 0.4232
103 10 8.826 1.174
104 9 9.14-0.1403
105 8 8.52-0.5204
106 3 5.603-2.603
107 8 6.964 1.036
108 7 7.631-0.6314
109 7 7.381-0.3806
110 8 6.444 1.556
111 8 8.51-0.5097
112 7 7.774-0.7737
113 7 5.655 1.345
114 9 10.18-1.18
115 9 8.533 0.4674
116 9 7.362 1.638
117 4 5.149-1.149
118 6 6.666-0.6659
119 6 6.067-0.06733
120 6 4.226 1.774
121 8 8.052-0.05212
122 3 4.108-1.108
123 8 6.125 1.875
124 8 7.189 0.8108
125 6 4.553 1.447
126 10 9.256 0.7437
127 2 4.345-2.345
128 9 7.59 1.41
129 6 5.318 0.6815
130 6 7.553-1.553
131 5 4.451 0.5488
132 4 4.437-0.4368
133 7 6.803 0.1966
134 5 5.459-0.4588
135 8 8.044-0.04417
136 6 6.677-0.6768
137 9 6.854 2.146
138 6 6.446-0.4459
139 4 4.638-0.6383
140 7 7.381-0.3807
141 2 3.568-1.568
142 8 9.029-1.029
143 9 8.334 0.6659
144 6 6.008-0.008018
145 5 4.618 0.3822
146 7 6.652 0.3482
147 8 7.486 0.514
148 4 6.091-2.091
149 9 6.396 2.604
150 9 9.393-0.3929
151 9 5.001 3.999
152 7 5.619 1.381
153 5 6.86-1.86
154 7 6.876 0.1236
155 9 10.36-1.362
156 8 6.383 1.617
157 6 5.213 0.7874
158 9 7.827 1.173
159 8 7.871 0.1288
160 7 7.543-0.5427
161 7 7.609-0.609
162 7 6.464 0.5363
163 8 7.321 0.6786
164 10 8.871 1.129
165 6 6.72-0.7205
166 6 6.802-0.8022


Goldfeld-Quandt test for Heteroskedasticity
p-valuesAlternative Hypothesis
breakpoint indexgreater2-sidedless
13 0.9731 0.05371 0.02685
14 0.9431 0.1138 0.05689
15 0.9005 0.1991 0.09954
16 0.881 0.238 0.119
17 0.8587 0.2826 0.1413
18 0.8021 0.3958 0.1979
19 0.8572 0.2856 0.1428
20 0.8114 0.3771 0.1886
21 0.9183 0.1633 0.08167
22 0.8915 0.2171 0.1085
23 0.8702 0.2597 0.1298
24 0.8247 0.3507 0.1753
25 0.8756 0.2488 0.1244
26 0.8393 0.3214 0.1607
27 0.7918 0.4164 0.2082
28 0.7917 0.4166 0.2083
29 0.8007 0.3986 0.1993
30 0.7518 0.4964 0.2482
31 0.7456 0.5089 0.2544
32 0.6925 0.615 0.3075
33 0.6834 0.6332 0.3166
34 0.6504 0.6993 0.3496
35 0.5941 0.8117 0.4059
36 0.7013 0.5974 0.2987
37 0.6925 0.6151 0.3075
38 0.6519 0.6962 0.3481
39 0.648 0.7041 0.352
40 0.6041 0.7917 0.3959
41 0.5609 0.8782 0.4391
42 0.5445 0.911 0.4555
43 0.4974 0.9947 0.5026
44 0.4743 0.9486 0.5257
45 0.4574 0.9148 0.5426
46 0.4036 0.8071 0.5965
47 0.3527 0.7055 0.6473
48 0.3354 0.6708 0.6646
49 0.2889 0.5779 0.7111
50 0.2579 0.5157 0.7421
51 0.2172 0.4343 0.7828
52 0.2992 0.5985 0.7008
53 0.3257 0.6514 0.6743
54 0.4064 0.8128 0.5936
55 0.3702 0.7405 0.6298
56 0.3331 0.6661 0.6669
57 0.3607 0.7214 0.6393
58 0.3313 0.6625 0.6687
59 0.311 0.622 0.689
60 0.2748 0.5496 0.7252
61 0.2862 0.5724 0.7138
62 0.2744 0.5488 0.7256
63 0.2862 0.5723 0.7138
64 0.292 0.584 0.708
65 0.2869 0.5738 0.7131
66 0.2583 0.5165 0.7417
67 0.2273 0.4547 0.7727
68 0.1955 0.3909 0.8045
69 0.1815 0.363 0.8185
70 0.174 0.3479 0.826
71 0.2228 0.4456 0.7772
72 0.1946 0.3892 0.8054
73 0.2024 0.4049 0.7976
74 0.2009 0.4017 0.7991
75 0.1759 0.3518 0.8241
76 0.1561 0.3122 0.8439
77 0.1381 0.2763 0.8619
78 0.489 0.9779 0.511
79 0.4456 0.8912 0.5544
80 0.4122 0.8243 0.5878
81 0.3782 0.7564 0.6218
82 0.3424 0.6848 0.6576
83 0.3413 0.6827 0.6587
84 0.3232 0.6464 0.6768
85 0.2952 0.5905 0.7048
86 0.2842 0.5685 0.7158
87 0.2653 0.5306 0.7347
88 0.4565 0.913 0.5435
89 0.4163 0.8326 0.5837
90 0.3779 0.7559 0.6221
91 0.3549 0.7097 0.6451
92 0.3438 0.6875 0.6562
93 0.3939 0.7878 0.6061
94 0.4526 0.9052 0.5474
95 0.444 0.8879 0.556
96 0.4686 0.9372 0.5314
97 0.4394 0.8787 0.5606
98 0.7604 0.4791 0.2396
99 0.7588 0.4824 0.2412
100 0.7547 0.4905 0.2453
101 0.7171 0.5658 0.2829
102 0.6774 0.6452 0.3226
103 0.6595 0.681 0.3405
104 0.6154 0.7691 0.3846
105 0.5794 0.8411 0.4206
106 0.67 0.66 0.33
107 0.654 0.692 0.346
108 0.6158 0.7684 0.3842
109 0.5726 0.8549 0.4274
110 0.6302 0.7395 0.3698
111 0.5921 0.8159 0.4079
112 0.5595 0.881 0.4405
113 0.5584 0.8831 0.4416
114 0.5345 0.931 0.4655
115 0.4955 0.9909 0.5045
116 0.58 0.8399 0.42
117 0.6164 0.7672 0.3836
118 0.568 0.864 0.432
119 0.5264 0.9471 0.4736
120 0.5966 0.8068 0.4034
121 0.5607 0.8785 0.4393
122 0.5564 0.8873 0.4436
123 0.6201 0.7597 0.3799
124 0.5805 0.839 0.4195
125 0.5612 0.8775 0.4388
126 0.5701 0.8598 0.4299
127 0.8094 0.3812 0.1906
128 0.7874 0.4251 0.2126
129 0.7455 0.509 0.2545
130 0.7273 0.5454 0.2727
131 0.6915 0.617 0.3085
132 0.6418 0.7165 0.3582
133 0.6193 0.7614 0.3807
134 0.5865 0.8269 0.4135
135 0.5511 0.8978 0.4489
136 0.5744 0.8511 0.4256
137 0.6418 0.7165 0.3582
138 0.604 0.7919 0.396
139 0.551 0.898 0.449
140 0.477 0.9541 0.523
141 0.7416 0.5168 0.2584
142 0.6797 0.6407 0.3203
143 0.6449 0.7101 0.3551
144 0.6128 0.7743 0.3872
145 0.639 0.722 0.361
146 0.5505 0.899 0.4495
147 0.4532 0.9063 0.5468
148 0.5486 0.9028 0.4514
149 0.5161 0.9679 0.4839
150 0.929 0.142 0.07102
151 0.893 0.214 0.107
152 0.8381 0.3237 0.1619
153 0.8818 0.2365 0.1182


Meta Analysis of Goldfeld-Quandt test for Heteroskedasticity
Description# significant tests% significant testsOK/NOK
1% type I error level0 0OK
5% type I error level00OK
10% type I error level10.0070922OK


Ramsey RESET F-Test for powers (2 and 3) of fitted values
> reset_test_fitted
	RESET test
data:  mylm
RESET = 5.922, df1 = 2, df2 = 154, p-value = 0.003328
Ramsey RESET F-Test for powers (2 and 3) of regressors
> reset_test_regressors
	RESET test
data:  mylm
RESET = 0.64581, df1 = 18, df2 = 138, p-value = 0.8576
Ramsey RESET F-Test for powers (2 and 3) of principal components
> reset_test_principal_components
	RESET test
data:  mylm
RESET = 4.4612, df1 = 2, df2 = 154, p-value = 0.01308


Variance Inflation Factors (Multicollinearity)
> vif
      Relative_Advantage     Perceived_Usefulness    Perceived_Ease_of_Use 
                1.596805                 1.854093                 2.549721 
     Information_Quality           System_Quality                   groupB 
                2.891852                 1.893668                 1.267010 
                 genderB  `Intention_to_Use(t-1)` `Intention_to_Use(t-1s)` 
                1.140788                 1.091868                 1.082982