Multiple Linear Regression - Estimated Regression Equation
Intention_to_Use[t] = -0.960844 + 0.317222Relative_Advantage[t] + 0.0920426Perceived_Usefulness[t] + 0.120555Perceived_Ease_of_Use[t] -0.0143977Information_Quality[t] + 0.089231System_Quality[t] + 0.894462groupB[t] + 0.207231genderB[t] -0.00494226`Intention_to_Use(t-1)`[t] + e[t]


Multiple Linear Regression - Ordinary Least Squares
VariableParameterS.D.T-STAT
H0: parameter = 0		2-tail p-value1-tail p-value
(Intercept)-0.9608 0.8199-1.1720e+00 0.2429 0.1214
Relative_Advantage+0.3172 0.0608+5.2170e+00 5.267e-07 2.633e-07
Perceived_Usefulness+0.09204 0.05928+1.5530e+00 0.1223 0.06117
Perceived_Ease_of_Use+0.1206 0.05522+2.1830e+00 0.0304 0.0152
Information_Quality-0.0144 0.06066-2.3730e-01 0.8127 0.4063
System_Quality+0.08923 0.02908+3.0690e+00 0.002503 0.001251
groupB+0.8945 0.2513+3.5590e+00 0.0004836 0.0002418
genderB+0.2072 0.2078+9.9730e-01 0.32 0.16
`Intention_to_Use(t-1)`-0.004942 0.05268-9.3810e-02 0.9254 0.4627


Multiple Linear Regression - Regression Statistics
Multiple R 0.7513
R-squared 0.5645
Adjusted R-squared 0.5438
F-TEST (value) 27.38
F-TEST (DF numerator)8
F-TEST (DF denominator)169
p-value 0
Multiple Linear Regression - Residual Statistics
Residual Standard Deviation 1.322
Sum Squared Residuals 295.6


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 8 7.805 0.1954
2 8 7.497 0.5032
3 9 9.428-0.4276
4 5 6.704-1.704
5 10 9.924 0.07568
6 8 8.376-0.3759
7 9 9.268-0.268
8 8 6.069 1.931
9 7 8.22-1.22
10 10 8.646 1.354
11 10 7.134 2.866
12 9 7.848 1.152
13 4 6.311-2.311
14 4 6.966-2.966
15 8 7.77 0.2304
16 9 9.801-0.8013
17 10 7.953 2.047
18 8 8.016-0.01554
19 5 6.657-1.657
20 10 8.259 1.741
21 8 8.544-0.5435
22 7 7.921-0.9212
23 8 8.481-0.4812
24 8 9.542-1.542
25 9 6.643 2.357
26 8 8.371-0.371
27 6 7.409-1.409
28 8 8.401-0.4014
29 8 7.443 0.5566
30 5 6.698-1.698
31 9 8.619 0.3812
32 8 8.129-0.1288
33 8 6.431 1.569
34 8 8.547-0.5466
35 6 5.929 0.07109
36 6 6.517-0.5167
37 9 7.818 1.182
38 8 7.514 0.4857
39 9 9.287-0.2866
40 10 8.096 1.904
41 8 7.018 0.9816
42 8 7.736 0.2641
43 7 7.136-0.1365
44 7 7.137-0.1373
45 10 9.2 0.8002
46 8 6.586 1.414
47 7 6.487 0.513
48 10 7.588 2.412
49 7 8.253-1.253
50 7 5.848 1.152
51 9 8.593 0.4066
52 9 9.977-0.9766
53 8 7.225 0.7748
54 6 7.466-1.466
55 8 7.387 0.6134
56 9 7.652 1.348
57 2 3.329-1.329
58 6 6.158-0.1582
59 8 7.763 0.2375
60 8 7.756 0.2438
61 7 7.222-0.2222
62 8 7.519 0.4815
63 6 5.95 0.05024
64 10 7.696 2.304
65 10 8.125 1.875
66 10 7.626 2.374
67 8 7.278 0.7219
68 8 8.262-0.2622
69 7 7.981-0.9806
70 10 9.046 0.9537
71 5 6.116-1.116
72 3 3.043-0.04314
73 2 3.718-1.718
74 3 4.399-1.399
75 4 5.699-1.699
76 2 3.528-1.528
77 6 5.025 0.9751
78 8 8.175-0.1753
79 8 7.197 0.8032
80 5 5.295-0.2954
81 10 9.093 0.9069
82 9 9.847-0.8473
83 8 9.941-1.942
84 9 9.081-0.08094
85 8 7.033 0.9665
86 5 6.302-1.302
87 7 7.596-0.5962
88 9 9.814-0.8139
89 8 8.369-0.3687
90 4 7.962-3.962
91 7 6.711 0.289
92 8 9.101-1.101
93 7 7.562-0.5617
94 7 7.245-0.2448
95 9 7.77 1.23
96 6 6.64-0.6398
97 7 7.851-0.8506
98 4 5.235-1.235
99 6 6.665-0.6652
100 10 6.809 3.191
101 9 8.344 0.6557
102 10 9.997 0.003402
103 8 7.473 0.5271
104 4 5.292-1.292
105 8 9.806-1.806
106 5 7.098-2.098
107 8 7.34 0.6604
108 9 7.642 1.358
109 8 7.674 0.3257
110 4 8.09-4.09
111 8 6.758 1.242
112 10 8.141 1.859
113 6 6.438-0.4378
114 7 6.485 0.5146
115 10 8.796 1.204
116 9 9.404-0.4045
117 8 8.362-0.3617
118 3 5.65-2.65
119 8 7.01 0.99
120 7 7.517-0.5173
121 7 7.282-0.2824
122 8 6.605 1.395
123 8 8.433-0.4328
124 7 7.567-0.5673
125 7 5.611 1.389
126 9 10.26-1.263
127 9 8.169 0.8313
128 9 7.429 1.571
129 4 5.101-1.101
130 6 6.973-0.9731
131 6 6.082-0.08196
132 6 4.336 1.664
133 8 8.142-0.1419
134 3 4.128-1.128
135 8 6.026 1.974
136 8 7.434 0.5657
137 6 4.622 1.378
138 10 9.21 0.7904
139 2 4.239-2.239
140 9 7.444 1.556
141 6 5.643 0.3567
142 6 7.695-1.695
143 5 4.439 0.5611
144 4 4.6-0.6002
145 7 6.752 0.2477
146 5 5.683-0.6833
147 8 7.9 0.1002
148 6 6.689-0.6891
149 9 6.841 2.159
150 6 6.334-0.3342
151 4 5.001-1.001
152 7 7.23-0.2303
153 2 3.82-1.82
154 8 9.164-1.164
155 9 8.508 0.4921
156 6 6.347-0.3468
157 5 4.44 0.5595
158 7 6.739 0.2613
159 8 7.253 0.7465
160 4 6.291-2.291
161 9 6.227 2.773
162 9 9.653-0.6531
163 9 5.229 3.771
164 7 5.849 1.151
165 5 7.244-2.244
166 7 6.699 0.3005
167 9 10.12-1.124
168 8 6.591 1.409
169 6 5.443 0.5572
170 9 7.77 1.23
171 8 7.941 0.05879
172 7 7.937-0.9373
173 7 7.595-0.5949
174 7 6.503 0.4972
175 8 7.217 0.7825
176 10 8.704 1.296
177 6 6.94-0.9401
178 6 6.742-0.7417


Goldfeld-Quandt test for Heteroskedasticity
p-valuesAlternative Hypothesis
breakpoint indexgreater2-sidedless
12 0.5429 0.9142 0.4571
13 0.9274 0.1452 0.0726
14 0.8954 0.2092 0.1046
15 0.9597 0.08058 0.04029
16 0.9702 0.05966 0.02983
17 0.9599 0.08018 0.04009
18 0.9354 0.1292 0.06458
19 0.9135 0.173 0.08648
20 0.9407 0.1186 0.0593
21 0.9185 0.1629 0.08146
22 0.8905 0.219 0.1095
23 0.8515 0.2971 0.1485
24 0.8967 0.2066 0.1033
25 0.9669 0.06611 0.03305
26 0.9552 0.08957 0.04478
27 0.9551 0.08971 0.04485
28 0.9375 0.1249 0.06247
29 0.9159 0.1682 0.08412
30 0.8966 0.2068 0.1034
31 0.8773 0.2454 0.1227
32 0.8451 0.3097 0.1549
33 0.8643 0.2714 0.1357
34 0.8313 0.3374 0.1687
35 0.7955 0.409 0.2045
36 0.7568 0.4864 0.2432
37 0.7549 0.4903 0.2451
38 0.7092 0.5817 0.2908
39 0.6615 0.6771 0.3385
40 0.6946 0.6107 0.3054
41 0.6969 0.6061 0.3031
42 0.6481 0.7038 0.3519
43 0.596 0.8081 0.404
44 0.5426 0.9148 0.4574
45 0.5086 0.9828 0.4914
46 0.4822 0.9644 0.5178
47 0.433 0.866 0.567
48 0.5587 0.8827 0.4413
49 0.5872 0.8256 0.4128
50 0.5679 0.8642 0.4321
51 0.5283 0.9434 0.4717
52 0.4915 0.983 0.5085
53 0.4522 0.9043 0.5478
54 0.4653 0.9306 0.5347
55 0.4372 0.8744 0.5628
56 0.4259 0.8517 0.5741
57 0.4137 0.8274 0.5863
58 0.3666 0.7333 0.6334
59 0.3229 0.6458 0.6771
60 0.2987 0.5973 0.7013
61 0.258 0.516 0.742
62 0.226 0.4521 0.774
63 0.1916 0.3831 0.8084
64 0.2697 0.5394 0.7303
65 0.3112 0.6223 0.6888
66 0.3991 0.7982 0.6009
67 0.3689 0.7379 0.6311
68 0.3286 0.6571 0.6714
69 0.3134 0.6267 0.6866
70 0.2961 0.5921 0.7039
71 0.2726 0.5453 0.7274
72 0.2362 0.4725 0.7638
73 0.2383 0.4765 0.7617
74 0.2271 0.4543 0.7729
75 0.2356 0.4713 0.7644
76 0.2341 0.4681 0.766
77 0.2509 0.5017 0.7491
78 0.2177 0.4353 0.7823
79 0.1957 0.3914 0.8043
80 0.1666 0.3331 0.8334
81 0.1594 0.3189 0.8406
82 0.1458 0.2917 0.8542
83 0.1746 0.3493 0.8254
84 0.1473 0.2947 0.8527
85 0.1378 0.2757 0.8622
86 0.1435 0.287 0.8565
87 0.1247 0.2494 0.8753
88 0.1097 0.2194 0.8903
89 0.0929 0.1858 0.9071
90 0.338 0.676 0.662
91 0.2992 0.5985 0.7008
92 0.2843 0.5686 0.7157
93 0.2551 0.5103 0.7449
94 0.2217 0.4433 0.7783
95 0.2214 0.4427 0.7786
96 0.1974 0.3948 0.8026
97 0.1787 0.3573 0.8213
98 0.1778 0.3556 0.8222
99 0.1619 0.3238 0.8381
100 0.331 0.662 0.669
101 0.3015 0.6029 0.6985
102 0.2634 0.5269 0.7366
103 0.2423 0.4846 0.7577
104 0.2288 0.4577 0.7712
105 0.2675 0.535 0.7325
106 0.3155 0.631 0.6845
107 0.3007 0.6015 0.6993
108 0.3128 0.6257 0.6872
109 0.2842 0.5683 0.7158
110 0.6791 0.6418 0.3209
111 0.6687 0.6626 0.3313
112 0.6955 0.6089 0.3045
113 0.6612 0.6776 0.3388
114 0.6308 0.7384 0.3692
115 0.6198 0.7604 0.3802
116 0.5757 0.8486 0.4243
117 0.535 0.9299 0.465
118 0.6509 0.6983 0.3491
119 0.6383 0.7235 0.3617
120 0.5958 0.8084 0.4042
121 0.55 0.9001 0.45
122 0.5701 0.8599 0.4299
123 0.5256 0.9488 0.4744
124 0.4814 0.9629 0.5186
125 0.476 0.952 0.524
126 0.4595 0.919 0.5405
127 0.4268 0.8535 0.5732
128 0.5367 0.9266 0.4633
129 0.5445 0.9111 0.4555
130 0.5159 0.9683 0.4841
131 0.4667 0.9335 0.5333
132 0.5274 0.9451 0.4726
133 0.4859 0.9717 0.5141
134 0.4644 0.9288 0.5356
135 0.5213 0.9573 0.4787
136 0.4733 0.9466 0.5267
137 0.4725 0.945 0.5275
138 0.4886 0.9772 0.5114
139 0.6299 0.7401 0.3701
140 0.6273 0.7453 0.3727
141 0.572 0.856 0.428
142 0.5913 0.8173 0.4087
143 0.5455 0.9091 0.4545
144 0.4876 0.9753 0.5124
145 0.4583 0.9166 0.5417
146 0.4834 0.9669 0.5166
147 0.428 0.856 0.572
148 0.4275 0.8549 0.5725
149 0.5022 0.9956 0.4978
150 0.4344 0.8688 0.5656
151 0.4404 0.8808 0.5596
152 0.3706 0.7413 0.6294
153 0.5348 0.9304 0.4652
154 0.4767 0.9535 0.5233
155 0.4174 0.8347 0.5826
156 0.3428 0.6857 0.6572
157 0.3178 0.6356 0.6822
158 0.2617 0.5233 0.7383
159 0.2212 0.4423 0.7788
160 0.2781 0.5562 0.7219
161 0.3482 0.6964 0.6518
162 0.3968 0.7935 0.6032
163 0.4236 0.8472 0.5764
164 0.308 0.6161 0.692
165 0.8831 0.2339 0.1169
166 0.8478 0.3044 0.1522


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 level60.0387097OK


Ramsey RESET F-Test for powers (2 and 3) of fitted values
> reset_test_fitted
	RESET test
data:  mylm
RESET = 6.3885, df1 = 2, df2 = 167, p-value = 0.002121
Ramsey RESET F-Test for powers (2 and 3) of regressors
> reset_test_regressors
	RESET test
data:  mylm
RESET = 0.79249, df1 = 16, df2 = 153, p-value = 0.6924
Ramsey RESET F-Test for powers (2 and 3) of principal components
> reset_test_principal_components
	RESET test
data:  mylm
RESET = 4.4595, df1 = 2, df2 = 167, p-value = 0.01298


Variance Inflation Factors (Multicollinearity)
> vif
     Relative_Advantage    Perceived_Usefulness   Perceived_Ease_of_Use 
               1.607867                1.869346                2.524031 
    Information_Quality          System_Quality                  groupB 
               2.802751                1.814758                1.282632 
                genderB `Intention_to_Use(t-1)` 
               1.098067                1.086104