Multiple Linear Regression - Estimated Regression Equation
Intention_to_Use[t] = -1.92814 + 0.2929Relative_Advantage[t] + 0.0853193Perceived_Usefulness[t] + 0.106187Perceived_Ease_of_Use[t] + 0.036988Information_Quality[t] + 0.0709976System_Quality[t] + 1.00629groupB[t] + 0.334666genderB[t] -0.0164075`Intention_to_Use(t-1)`[t] + 0.0247869`Intention_to_Use(t-1s)`[t] -0.040615`Intention_to_Use(t-2s)`[t] -0.0337217`Intention_to_Use(t-3s)`[t] + 0.0618448`Intention_to_Use(t-4s)`[t] -0.0764146`Intention_to_Use(t-5s)`[t] + 0.0791039`Intention_to_Use(t-6s)`[t] + 0.143331`Intention_to_Use(t-7s)`[t] + 0.0545301`Intention_to_Use(t-8s)`[t] -0.0391061`Intention_to_Use(t-9s)`[t] + 0.0400292`Intention_to_Use(t-10s)`[t] -0.0460857`Intention_to_Use(t-11s)`[t] -0.0213416`Intention_to_Use(t-12s)`[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)-1.928 1.559-1.2370e+00 0.2183 0.1091
Relative_Advantage+0.2929 0.06792+4.3120e+00 3.123e-05 1.561e-05
Perceived_Usefulness+0.08532 0.06578+1.2970e+00 0.1969 0.09843
Perceived_Ease_of_Use+0.1062 0.06127+1.7330e+00 0.08541 0.0427
Information_Quality+0.03699 0.07099+5.2100e-01 0.6032 0.3016
System_Quality+0.071 0.03325+2.1350e+00 0.03457 0.01728
groupB+1.006 0.2603+3.8660e+00 0.0001724 8.62e-05
genderB+0.3347 0.2292+1.4600e+00 0.1467 0.07334
`Intention_to_Use(t-1)`-0.01641 0.05706-2.8750e-01 0.7741 0.3871
`Intention_to_Use(t-1s)`+0.02479 0.05722+4.3320e-01 0.6656 0.3328
`Intention_to_Use(t-2s)`-0.04061 0.06109-6.6480e-01 0.5073 0.2537
`Intention_to_Use(t-3s)`-0.03372 0.05876-5.7390e-01 0.567 0.2835
`Intention_to_Use(t-4s)`+0.06184 0.05618+1.1010e+00 0.2729 0.1365
`Intention_to_Use(t-5s)`-0.07641 0.05654-1.3520e+00 0.1788 0.08941
`Intention_to_Use(t-6s)`+0.0791 0.05599+1.4130e+00 0.1601 0.08003
`Intention_to_Use(t-7s)`+0.1433 0.0558+2.5690e+00 0.01131 0.005656
`Intention_to_Use(t-8s)`+0.05453 0.05583+9.7660e-01 0.3305 0.1653
`Intention_to_Use(t-9s)`-0.03911 0.0564-6.9340e-01 0.4893 0.2446
`Intention_to_Use(t-10s)`+0.04003 0.05513+7.2610e-01 0.4691 0.2345
`Intention_to_Use(t-11s)`-0.04609 0.05511-8.3630e-01 0.4045 0.2022
`Intention_to_Use(t-12s)`-0.02134 0.05862-3.6400e-01 0.7164 0.3582


Multiple Linear Regression - Regression Statistics
Multiple R 0.7973
R-squared 0.6356
Adjusted R-squared 0.5808
F-TEST (value) 11.6
F-TEST (DF numerator)20
F-TEST (DF denominator)133
p-value 0
Multiple Linear Regression - Residual Statistics
Residual Standard Deviation 1.272
Sum Squared Residuals 215.3


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 9 6.869 2.131
2 8 8.355-0.3545
3 6 6.854-0.8545
4 8 8.338-0.3385
5 8 7.227 0.7731
6 5 6.612-1.612
7 9 9.292-0.2917
8 8 8.423-0.4228
9 8 6.307 1.693
10 8 8.716-0.7164
11 6 5.665 0.3354
12 6 6.904-0.904
13 9 8.515 0.4848
14 8 7.361 0.6394
15 9 9.431-0.4312
16 10 8.771 1.229
17 8 6.77 1.23
18 8 7.456 0.544
19 7 6.862 0.1376
20 7 6.744 0.2561
21 10 9.58 0.4196
22 8 6.824 1.176
23 7 6.554 0.4461
24 10 7.914 2.086
25 7 8.07-1.07
26 7 5.582 1.418
27 9 8.603 0.3966
28 9 9.958-0.9578
29 8 7.792 0.2076
30 6 7.967-1.967
31 8 7.222 0.7777
32 9 7.932 1.068
33 2 3.674-1.674
34 6 6.106-0.1065
35 8 8.263-0.263
36 8 8.199-0.1986
37 7 7.249-0.2492
38 8 7.52 0.4802
39 6 6.152-0.1518
40 10 8.095 1.905
41 10 8.124 1.876
42 10 7.453 2.547
43 8 7.888 0.1116
44 8 8.583-0.5832
45 7 7.647-0.6469
46 10 8.79 1.21
47 5 5.266-0.2661
48 3 3.148-0.1477
49 2 3.829-1.829
50 3 4.144-1.144
51 4 5.801-1.801
52 2 3.797-1.797
53 6 4.96 1.04
54 8 9.08-1.08
55 8 8.088-0.08757
56 5 5.829-0.8293
57 10 9.679 0.3211
58 9 10.52-1.52
59 8 10.01-2.01
60 9 9.351-0.3508
61 8 6.531 1.469
62 5 5.914-0.9139
63 7 6.586 0.4142
64 9 8.018 0.9817
65 8 7.533 0.4671
66 4 7.663-3.663
67 7 6.375 0.6249
68 8 8.423-0.4232
69 7 7.669-0.6694
70 7 7.303-0.3025
71 9 8.316 0.6839
72 6 7.351-1.351
73 7 8.342-1.342
74 4 5.526-1.526
75 6 6.851-0.8508
76 10 6.986 3.014
77 9 8.478 0.5217
78 10 10.22-0.2167
79 8 7.665 0.3347
80 4 5.117-1.117
81 8 9.64-1.64
82 5 6.366-1.366
83 8 7.179 0.8207
84 9 8.146 0.8539
85 8 8.015-0.01538
86 4 7.796-3.796
87 8 6.758 1.242
88 10 7.793 2.207
89 6 6.101-0.1009
90 7 7.248-0.2476
91 10 9.039 0.9608
92 9 9.992-0.992
93 8 8.849-0.849
94 3 4.69-1.69
95 8 7.033 0.9673
96 7 7.632-0.6323
97 7 7.413-0.4129
98 8 6.682 1.318
99 8 8.883-0.8833
100 7 7.565-0.5649
101 7 5.601 1.399
102 9 9.822-0.8222
103 9 8.237 0.7633
104 9 8.336 0.6644
105 4 5.53-1.53
106 6 6.773-0.7729
107 6 6.492-0.4917
108 6 3.765 2.235
109 8 7.986 0.014
110 3 3.947-0.9467
111 8 6.563 1.437
112 8 7.439 0.5606
113 6 4.343 1.657
114 10 9.046 0.954
115 2 4.397-2.397
116 9 8.124 0.8764
117 6 5.572 0.4277
118 6 7.71-1.71
119 5 4.317 0.6832
120 4 4.459-0.4594
121 7 6.413 0.587
122 5 5.292-0.2924
123 8 8.066-0.06552
124 6 5.992 0.008303
125 9 7.219 1.781
126 6 6.258-0.258
127 4 4.504-0.504
128 7 7.844-0.8438
129 2 3-0.9998
130 8 9.562-1.562
131 9 7.974 1.026
132 6 6.311-0.3107
133 5 4.943 0.05662
134 7 6.15 0.8504
135 8 7.063 0.9365
136 4 5.784-1.784
137 9 6.835 2.165
138 9 9.006-0.005997
139 9 6.071 2.929
140 7 5.374 1.626
141 5 6.367-1.367
142 7 6.924 0.07646
143 9 9.495-0.4953
144 8 6.582 1.418
145 6 5.457 0.5428
146 9 8.141 0.859
147 8 7.673 0.3274
148 7 7.464-0.4645
149 7 7.252-0.2524
150 7 6.002 0.9979
151 8 8.416-0.4156
152 10 8.931 1.069
153 6 6.688-0.6884
154 6 7.084-1.084


Goldfeld-Quandt test for Heteroskedasticity
p-valuesAlternative Hypothesis
breakpoint indexgreater2-sidedless
24 0.2498 0.4996 0.7502
25 0.1648 0.3296 0.8352
26 0.1222 0.2444 0.8778
27 0.1028 0.2056 0.8972
28 0.06003 0.1201 0.94
29 0.03432 0.06865 0.9657
30 0.03851 0.07702 0.9615
31 0.1163 0.2326 0.8837
32 0.09017 0.1803 0.9098
33 0.08714 0.1743 0.9129
34 0.07531 0.1506 0.9247
35 0.1007 0.2014 0.8993
36 0.07065 0.1413 0.9293
37 0.04625 0.09249 0.9538
38 0.06963 0.1393 0.9304
39 0.05808 0.1162 0.9419
40 0.07684 0.1537 0.9232
41 0.149 0.298 0.851
42 0.2649 0.5298 0.7351
43 0.3352 0.6703 0.6648
44 0.2985 0.5971 0.7015
45 0.3933 0.7866 0.6067
46 0.3664 0.7329 0.6336
47 0.3189 0.6378 0.6811
48 0.2734 0.5468 0.7266
49 0.2903 0.5806 0.7097
50 0.255 0.51 0.745
51 0.2501 0.5001 0.7499
52 0.2541 0.5081 0.7459
53 0.2869 0.5738 0.7131
54 0.3092 0.6184 0.6908
55 0.2602 0.5204 0.7398
56 0.2258 0.4516 0.7742
57 0.1875 0.375 0.8125
58 0.1992 0.3983 0.8008
59 0.2517 0.5034 0.7483
60 0.2085 0.417 0.7915
61 0.2186 0.4372 0.7814
62 0.2405 0.4809 0.7595
63 0.2094 0.4187 0.7906
64 0.1957 0.3914 0.8043
65 0.1921 0.3842 0.8079
66 0.4334 0.8667 0.5666
67 0.3949 0.7898 0.6051
68 0.3523 0.7047 0.6477
69 0.3178 0.6356 0.6822
70 0.2846 0.5691 0.7154
71 0.2483 0.4967 0.7517
72 0.2756 0.5512 0.7244
73 0.2822 0.5643 0.7178
74 0.3241 0.6483 0.6759
75 0.3133 0.6265 0.6867
76 0.5317 0.9366 0.4683
77 0.4837 0.9674 0.5163
78 0.4373 0.8747 0.5627
79 0.4261 0.8522 0.5739
80 0.3819 0.7638 0.6181
81 0.3904 0.7808 0.6096
82 0.422 0.8439 0.578
83 0.4295 0.8591 0.5705
84 0.4236 0.8471 0.5764
85 0.3773 0.7547 0.6227
86 0.7774 0.4451 0.2226
87 0.8059 0.3882 0.1941
88 0.861 0.278 0.139
89 0.8293 0.3414 0.1707
90 0.7937 0.4127 0.2063
91 0.7665 0.4669 0.2335
92 0.7357 0.5285 0.2643
93 0.708 0.584 0.292
94 0.7137 0.5725 0.2863
95 0.7394 0.5212 0.2606
96 0.7028 0.5943 0.2972
97 0.6613 0.6773 0.3387
98 0.6694 0.6613 0.3306
99 0.6408 0.7184 0.3592
100 0.5908 0.8184 0.4092
101 0.6209 0.7583 0.3791
102 0.5701 0.8597 0.4299
103 0.5278 0.9444 0.4722
104 0.5 1 0.5
105 0.5108 0.9784 0.4892
106 0.4657 0.9313 0.5343
107 0.4067 0.8134 0.5933
108 0.7315 0.5371 0.2685
109 0.6844 0.6313 0.3156
110 0.6846 0.6308 0.3154
111 0.7643 0.4713 0.2357
112 0.7188 0.5624 0.2812
113 0.7868 0.4264 0.2132
114 0.7545 0.491 0.2455
115 0.8745 0.2509 0.1255
116 0.8554 0.2891 0.1446
117 0.8098 0.3805 0.1902
118 0.7633 0.4733 0.2367
119 0.7577 0.4847 0.2423
120 0.7503 0.4993 0.2497
121 0.8555 0.2891 0.1445
122 0.7948 0.4104 0.2052
123 0.8479 0.3041 0.1521
124 0.8026 0.3948 0.1974
125 0.7427 0.5146 0.2573
126 0.6406 0.7189 0.3594
127 0.5216 0.9568 0.4784
128 0.5647 0.8707 0.4353
129 0.8975 0.2049 0.1025
130 0.8724 0.2553 0.1276


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 level30.0280374OK


Ramsey RESET F-Test for powers (2 and 3) of fitted values
> reset_test_fitted
	RESET test
data:  mylm
RESET = 6.4267, df1 = 2, df2 = 131, p-value = 0.002175
Ramsey RESET F-Test for powers (2 and 3) of regressors
> reset_test_regressors
	RESET test
data:  mylm
RESET = 1.1542, df1 = 40, df2 = 93, p-value = 0.2827
Ramsey RESET F-Test for powers (2 and 3) of principal components
> reset_test_principal_components
	RESET test
data:  mylm
RESET = 2.4541, df1 = 2, df2 = 131, p-value = 0.08988


Variance Inflation Factors (Multicollinearity)
> vif
       Relative_Advantage      Perceived_Usefulness     Perceived_Ease_of_Use 
                 1.950154                  2.111059                  2.818270 
      Information_Quality            System_Quality                    groupB 
                 3.524588                  2.286771                  1.398254 
                  genderB   `Intention_to_Use(t-1)`  `Intention_to_Use(t-1s)` 
                 1.249427                  1.187090                  1.192436 
 `Intention_to_Use(t-2s)`  `Intention_to_Use(t-3s)`  `Intention_to_Use(t-4s)` 
                 1.340900                  1.267167                  1.173786 
 `Intention_to_Use(t-5s)`  `Intention_to_Use(t-6s)`  `Intention_to_Use(t-7s)` 
                 1.187366                  1.195849                  1.200354 
 `Intention_to_Use(t-8s)`  `Intention_to_Use(t-9s)` `Intention_to_Use(t-10s)` 
                 1.210702                  1.230331                  1.170653 
`Intention_to_Use(t-11s)` `Intention_to_Use(t-12s)` 
                 1.175372                  1.322717