Multiple Linear Regression - Estimated Regression Equation
Intention_to_Use[t] = -1.02844 + 0.328297Relative_Advantage[t] + 0.0917069Perceived_Usefulness[t] + 0.103309Perceived_Ease_of_Use[t] + 0.000830561Information_Quality[t] + 0.0876004System_Quality[t] + 0.895018groupB[t] + 0.188132genderB[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)-1.028 0.7824-1.3140e+00 0.1905 0.09523
Relative_Advantage+0.3283 0.06025+5.4490e+00 1.74e-07 8.701e-08
Perceived_Usefulness+0.09171 0.05917+1.5500e+00 0.123 0.0615
Perceived_Ease_of_Use+0.1033 0.05366+1.9250e+00 0.05584 0.02792
Information_Quality+0.0008306 0.05958+1.3940e-02 0.9889 0.4944
System_Quality+0.0876 0.02888+3.0330e+00 0.002796 0.001398
groupB+0.895 0.2479+3.6100e+00 0.0004021 0.0002011
genderB+0.1881 0.2056+9.1510e-01 0.3614 0.1807


Multiple Linear Regression - Regression Statistics
Multiple R 0.7512
R-squared 0.5644
Adjusted R-squared 0.5465
F-TEST (value) 31.65
F-TEST (DF numerator)7
F-TEST (DF denominator)171
p-value 0
Multiple Linear Regression - Residual Statistics
Residual Standard Deviation 1.322
Sum Squared Residuals 298.9


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 10 8.271 1.729
2 8 7.878 0.1224
3 8 7.476 0.5238
4 9 9.502-0.5018
5 5 6.864-1.864
6 10 9.928 0.07174
7 8 8.381-0.3806
8 9 9.299-0.2985
9 8 6.057 1.943
10 7 8.248-1.248
11 10 8.647 1.353
12 10 7.156 2.844
13 9 7.877 1.123
14 4 6.325-2.325
15 4 6.899-2.899
16 8 7.753 0.2469
17 9 9.731-0.7311
18 10 8.022 1.978
19 8 8.089-0.08931
20 5 6.649-1.649
21 10 8.21 1.79
22 8 8.655-0.655
23 7 7.955-0.9552
24 8 8.501-0.5014
25 8 9.475-1.475
26 9 6.574 2.426
27 8 8.389-0.3887
28 6 7.42-1.42
29 8 8.436-0.4357
30 8 7.412 0.5883
31 5 6.731-1.731
32 9 8.584 0.4162
33 8 8.136-0.1356
34 8 6.439 1.561
35 8 8.619-0.6195
36 6 5.87 0.1301
37 6 6.486-0.4857
38 9 7.81 1.19
39 8 7.495 0.5049
40 9 9.267-0.2667
41 10 8.101 1.899
42 8 7.016 0.9836
43 8 7.779 0.221
44 7 7.177-0.1769
45 7 7.162-0.1622
46 10 9.211 0.7891
47 8 6.588 1.412
48 7 6.482 0.5182
49 10 7.635 2.365
50 7 8.244-1.244
51 7 5.909 1.091
52 9 8.578 0.4222
53 9 9.998-0.998
54 8 7.245 0.7547
55 6 7.444-1.444
56 8 7.431 0.5686
57 9 7.646 1.354
58 2 3.343-1.343
59 6 6.097-0.09686
60 8 7.757 0.2428
61 8 7.744 0.2557
62 7 7.243-0.2432
63 8 7.538 0.4616
64 6 5.935 0.06508
65 10 7.74 2.26
66 10 8.195 1.805
67 10 7.675 2.325
68 8 7.317 0.6828
69 8 8.336-0.3356
70 7 7.998-0.9979
71 10 9.025 0.9751
72 5 6.173-1.173
73 3 3-0.0003373
74 2 3.715-1.715
75 3 4.349-1.349
76 4 5.652-1.652
77 2 3.483-1.483
78 6 5.075 0.925
79 8 8.227-0.2265
80 8 7.225 0.7749
81 5 5.34-0.3398
82 10 9.107 0.8931
83 9 9.865-0.8646
84 8 9.952-1.952
85 9 9.113-0.1132
86 8 6.975 1.025
87 5 6.257-1.257
88 7 7.602-0.6021
89 9 9.832-0.8323
90 8 8.447-0.4466
91 4 8.011-4.011
92 7 6.711 0.2885
93 8 9.008-1.008
94 7 7.573-0.5728
95 7 7.297-0.2974
96 9 7.784 1.216
97 6 6.727-0.7275
98 7 7.844-0.8439
99 4 5.209-1.209
100 6 6.65-0.6497
101 10 6.8 3.2
102 9 8.427 0.5727
103 10 10.02-0.01996
104 8 7.538 0.4623
105 4 5.287-1.287
106 8 9.808-1.808
107 5 7.154-2.154
108 8 7.292 0.7078
109 9 7.636 1.364
110 8 7.685 0.3147
111 4 8.1-4.1
112 8 6.73 1.27
113 10 8.199 1.801
114 6 6.43-0.4297
115 7 6.47 0.53
116 10 8.812 1.188
117 9 9.398-0.3982
118 8 8.422-0.4219
119 3 5.69-2.69
120 8 6.986 1.014
121 7 7.542-0.5421
122 7 7.369-0.3687
123 8 6.686 1.314
124 8 8.429-0.4287
125 7 7.664-0.6636
126 7 5.628 1.372
127 9 10.27-1.273
128 9 8.19 0.8102
129 9 7.426 1.574
130 4 5.025-1.025
131 6 6.999-0.9989
132 6 6.054-0.05362
133 6 4.337 1.663
134 8 8.178-0.178
135 3 4.092-1.092
136 8 6.032 1.968
137 8 7.366 0.6342
138 6 4.612 1.388
139 10 9.244 0.7557
140 2 4.321-2.321
141 9 7.38 1.62
142 6 5.577 0.4232
143 6 7.705-1.705
144 5 4.458 0.542
145 4 4.593-0.593
146 7 6.786 0.2136
147 5 5.697-0.6968
148 8 7.922 0.07773
149 6 6.725-0.7253
150 9 6.868 2.132
151 6 6.336-0.3365
152 4 4.979-0.9792
153 7 7.242-0.2422
154 2 3.83-1.83
155 8 9.148-1.148
156 9 8.504 0.4961
157 6 6.378-0.378
158 5 4.435 0.5646
159 7 6.731 0.269
160 8 7.247 0.7527
161 4 6.302-2.302
162 9 6.174 2.826
163 9 9.608-0.6076
164 9 5.226 3.774
165 7 5.916 1.084
166 5 7.251-2.251
167 7 6.709 0.2907
168 9 10.13-1.135
169 8 6.584 1.416
170 6 5.41 0.59
171 9 7.779 1.221
172 8 7.903 0.0971
173 7 7.906-0.906
174 7 7.598-0.5977
175 7 6.563 0.4372
176 8 7.258 0.7425
177 10 8.771 1.229
178 6 6.953-0.9526
179 6 6.755-0.7553


Goldfeld-Quandt test for Heteroskedasticity
p-valuesAlternative Hypothesis
breakpoint indexgreater2-sidedless
11 0.7583 0.4835 0.2417
12 0.8911 0.2178 0.1089
13 0.8352 0.3296 0.1648
14 0.9764 0.04726 0.02363
15 0.9825 0.03509 0.01754
16 0.9777 0.04462 0.02231
17 0.9675 0.06494 0.03247
18 0.96 0.08007 0.04004
19 0.9421 0.1157 0.05787
20 0.94 0.12 0.06002
21 0.9557 0.08866 0.04433
22 0.9483 0.1033 0.05166
23 0.9328 0.1345 0.06725
24 0.9093 0.1813 0.09066
25 0.9142 0.1716 0.08581
26 0.972 0.05599 0.028
27 0.9629 0.07428 0.03714
28 0.9607 0.07859 0.03929
29 0.9465 0.107 0.05349
30 0.9282 0.1436 0.07182
31 0.9126 0.1749 0.08744
32 0.89 0.2199 0.11
33 0.8623 0.2755 0.1377
34 0.8742 0.2516 0.1258
35 0.8509 0.2981 0.1491
36 0.8195 0.3611 0.1805
37 0.7874 0.4252 0.2126
38 0.7858 0.4284 0.2142
39 0.7473 0.5055 0.2527
40 0.7015 0.597 0.2985
41 0.7472 0.5056 0.2528
42 0.7594 0.4813 0.2406
43 0.7169 0.5662 0.2831
44 0.6709 0.6583 0.3291
45 0.6225 0.7549 0.3775
46 0.5873 0.8253 0.4127
47 0.5873 0.8253 0.4127
48 0.5399 0.9203 0.4601
49 0.6316 0.7367 0.3684
50 0.6257 0.7487 0.3743
51 0.5942 0.8117 0.4058
52 0.5535 0.8931 0.4465
53 0.5196 0.9609 0.4804
54 0.4798 0.9596 0.5202
55 0.4889 0.9779 0.5111
56 0.4502 0.9003 0.5498
57 0.441 0.882 0.559
58 0.4306 0.8612 0.5694
59 0.3865 0.7729 0.6135
60 0.3423 0.6845 0.6577
61 0.3182 0.6363 0.6818
62 0.2772 0.5543 0.7228
63 0.2433 0.4866 0.7567
64 0.2078 0.4156 0.7922
65 0.2744 0.5488 0.7256
66 0.3091 0.6182 0.6909
67 0.3918 0.7836 0.6082
68 0.359 0.7181 0.641
69 0.3215 0.6431 0.6785
70 0.3072 0.6145 0.6928
71 0.2898 0.5796 0.7102
72 0.2713 0.5425 0.7287
73 0.2354 0.4709 0.7646
74 0.2426 0.4852 0.7574
75 0.2276 0.4552 0.7724
76 0.23 0.4599 0.77
77 0.2223 0.4447 0.7777
78 0.2193 0.4386 0.7807
79 0.1923 0.3845 0.8077
80 0.1715 0.343 0.8285
81 0.1453 0.2907 0.8547
82 0.1373 0.2747 0.8627
83 0.125 0.25 0.875
84 0.1544 0.3087 0.8456
85 0.1295 0.2591 0.8705
86 0.1219 0.2438 0.8781
87 0.1257 0.2514 0.8743
88 0.1086 0.2171 0.8914
89 0.09603 0.1921 0.904
90 0.08163 0.1633 0.9184
91 0.3212 0.6424 0.6788
92 0.285 0.5701 0.715
93 0.2675 0.5351 0.7325
94 0.2403 0.4807 0.7597
95 0.2088 0.4176 0.7912
96 0.208 0.4159 0.792
97 0.1872 0.3743 0.8128
98 0.1698 0.3396 0.8302
99 0.1668 0.3336 0.8332
100 0.1467 0.2934 0.8533
101 0.3209 0.6418 0.6791
102 0.2879 0.5759 0.7121
103 0.2511 0.5022 0.7489
104 0.2259 0.4519 0.7741
105 0.2146 0.4292 0.7854
106 0.2425 0.485 0.7575
107 0.2926 0.5851 0.7074
108 0.2794 0.5588 0.7206
109 0.29 0.58 0.71
110 0.257 0.5139 0.743
111 0.636 0.728 0.364
112 0.6422 0.7156 0.3578
113 0.6657 0.6685 0.3343
114 0.6259 0.7482 0.3741
115 0.5982 0.8036 0.4018
116 0.585 0.83 0.415
117 0.5434 0.9132 0.4566
118 0.5072 0.9856 0.4928
119 0.6489 0.7022 0.3511
120 0.6509 0.6982 0.3491
121 0.6101 0.7798 0.3899
122 0.5665 0.867 0.4335
123 0.5797 0.8405 0.4203
124 0.5379 0.9243 0.4621
125 0.4965 0.9929 0.5035
126 0.4908 0.9817 0.5092
127 0.4759 0.9518 0.5241
128 0.4425 0.8851 0.5575
129 0.5287 0.9426 0.4713
130 0.5406 0.9188 0.4594
131 0.5028 0.9944 0.4972
132 0.451 0.9021 0.549
133 0.5219 0.9561 0.4781
134 0.4817 0.9634 0.5183
135 0.4576 0.9152 0.5424
136 0.5436 0.9127 0.4564
137 0.497 0.9941 0.503
138 0.4923 0.9846 0.5077
139 0.5117 0.9766 0.4883
140 0.6708 0.6584 0.3292
141 0.6702 0.6596 0.3298
142 0.6179 0.7642 0.3821
143 0.6396 0.7207 0.3604
144 0.596 0.808 0.404
145 0.5393 0.9214 0.4607
146 0.5023 0.9954 0.4977
147 0.5232 0.9536 0.4768
148 0.4686 0.9373 0.5314
149 0.465 0.9301 0.535
150 0.5536 0.8929 0.4464
151 0.4869 0.9738 0.5131
152 0.4985 0.997 0.5015
153 0.4284 0.8567 0.5716
154 0.5979 0.8043 0.4021
155 0.5463 0.9073 0.4537
156 0.488 0.976 0.512
157 0.4123 0.8246 0.5877
158 0.3894 0.7789 0.6106
159 0.3286 0.6572 0.6714
160 0.2822 0.5644 0.7178
161 0.3539 0.7078 0.6461
162 0.4083 0.8167 0.5917
163 0.4903 0.9807 0.5097
164 0.5346 0.9307 0.4654
165 0.4199 0.8398 0.5801
166 0.9452 0.1097 0.05484
167 0.9247 0.1507 0.07535
168 0.8286 0.3427 0.1714


Meta Analysis of Goldfeld-Quandt test for Heteroskedasticity
Description# significant tests% significant testsOK/NOK
1% type I error level0 0OK
5% type I error level30.0189873OK
10% type I error level90.056962OK


Ramsey RESET F-Test for powers (2 and 3) of fitted values
> reset_test_fitted
	RESET test
data:  mylm
RESET = 6.1098, df1 = 2, df2 = 169, p-value = 0.002742
Ramsey RESET F-Test for powers (2 and 3) of regressors
> reset_test_regressors
	RESET test
data:  mylm
RESET = 0.75864, df1 = 14, df2 = 157, p-value = 0.7122
Ramsey RESET F-Test for powers (2 and 3) of principal components
> reset_test_principal_components
	RESET test
data:  mylm
RESET = 4.3565, df1 = 2, df2 = 169, p-value = 0.01429


Variance Inflation Factors (Multicollinearity)
> vif
   Relative_Advantage  Perceived_Usefulness Perceived_Ease_of_Use 
             1.601567              1.864367              2.408801 
  Information_Quality        System_Quality                groupB 
             2.725076              1.794514              1.251689 
              genderB 
             1.081904