Multiple Linear Regression - Estimated Regression Equation
Intention_to_Use[t] = -1.00044 + 0.327676Relative_Advantage[t] + 0.091582Perceived_Usefulness[t] + 0.103389Perceived_Ease_of_Use[t] + 0.0009767Information_Quality[t] + 0.0879803System_Quality[t] + 0.880305groupB[t] + 0.186814genderB[t] -0.000306779t + e[t]


Multiple Linear Regression - Ordinary Least Squares
VariableParameterS.D.T-STAT
H0: parameter = 0		2-tail p-value1-tail p-value
(Intercept)-1 0.8083-1.2380e+00 0.2175 0.1088
Relative_Advantage+0.3277 0.06057+5.4100e+00 2.116e-07 1.058e-07
Perceived_Usefulness+0.09158 0.05934+1.5430e+00 0.1246 0.06232
Perceived_Ease_of_Use+0.1034 0.05381+1.9210e+00 0.05637 0.02819
Information_Quality+0.0009767 0.05976+1.6340e-02 0.987 0.4935
System_Quality+0.08798 0.02908+3.0250e+00 0.00287 0.001435
groupB+0.8803 0.2687+3.2760e+00 0.001276 0.0006382
genderB+0.1868 0.2064+9.0520e-01 0.3666 0.1833
t-0.0003068 0.002125-1.4440e-01 0.8854 0.4427


Multiple Linear Regression - Regression Statistics
Multiple R 0.7513
R-squared 0.5644
Adjusted R-squared 0.5439
F-TEST (value) 27.54
F-TEST (DF numerator)8
F-TEST (DF denominator)170
p-value 0
Multiple Linear Regression - Residual Statistics
Residual Standard Deviation 1.326
Sum Squared Residuals 298.8


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 8.294 1.706
2 8 7.899 0.1006
3 8 7.498 0.5018
4 9 9.524-0.5235
5 5 6.886-1.886
6 10 9.95 0.04975
7 8 8.403-0.4027
8 9 9.317-0.3174
9 8 6.077 1.923
10 7 8.271-1.271
11 10 8.668 1.332
12 10 7.178 2.822
13 9 7.896 1.104
14 4 6.345-2.345
15 4 6.92-2.92
16 8 7.773 0.2271
17 9 9.751-0.7511
18 10 8.039 1.962
19 8 8.108-0.1079
20 5 6.666-1.666
21 10 8.229 1.771
22 8 8.672-0.6718
23 7 7.97-0.9698
24 8 8.517-0.5174
25 8 9.494-1.494
26 9 6.591 2.409
27 8 8.403-0.4032
28 6 7.431-1.431
29 8 8.446-0.4464
30 8 7.423 0.5769
31 5 6.762-1.762
32 9 8.597 0.4028
33 8 8.149-0.1489
34 8 6.453 1.547
35 8 8.631-0.6306
36 6 5.885 0.1148
37 6 6.496-0.4964
38 9 7.822 1.178
39 8 7.509 0.4912
40 9 9.28-0.2799
41 10 8.112 1.888
42 8 7.043 0.9575
43 8 7.784 0.2158
44 7 7.189-0.1894
45 7 7.172-0.1715
46 10 9.219 0.7808
47 8 6.594 1.406
48 7 6.489 0.5109
49 10 7.643 2.357
50 7 8.252-1.252
51 7 5.916 1.084
52 9 8.589 0.4114
53 9 10.01-1.008
54 8 7.252 0.7485
55 6 7.451-1.451
56 8 7.439 0.561
57 9 7.65 1.35
58 2 3.363-1.363
59 6 6.103-0.1028
60 8 7.763 0.237
61 8 7.766 0.2339
62 7 7.259-0.259
63 8 7.54 0.4596
64 6 5.939 0.06094
65 10 7.741 2.259
66 10 8.198 1.802
67 10 7.677 2.323
68 8 7.32 0.6802
69 8 8.337-0.3369
70 7 8-0.9996
71 10 9.031 0.9687
72 5 6.188-1.188
73 3 3.012-0.01231
74 2 3.727-1.727
75 3 4.361-1.361
76 4 5.665-1.665
77 2 3.498-1.498
78 6 5.088 0.9125
79 8 8.227-0.2267
80 8 7.227 0.773
81 5 5.355-0.3546
82 10 9.104 0.8957
83 9 9.861-0.8613
84 8 9.949-1.949
85 9 9.11-0.1103
86 8 6.973 1.027
87 5 6.251-1.251
88 7 7.599-0.5986
89 9 9.828-0.8276
90 8 8.443-0.443
91 4 8.005-4.005
92 7 6.703 0.297
93 8 9.002-1.002
94 7 7.566-0.5659
95 7 7.289-0.2893
96 9 7.78 1.22
97 6 6.721-0.7211
98 7 7.838-0.8378
99 4 5.205-1.205
100 6 6.643-0.6429
101 10 6.797 3.203
102 9 8.418 0.5816
103 10 10.01-0.01207
104 8 7.532 0.4681
105 4 5.295-1.295
106 8 9.799-1.799
107 5 7.148-2.148
108 8 7.297 0.7029
109 9 7.641 1.359
110 8 7.675 0.3254
111 4 8.093-4.093
112 8 6.719 1.281
113 10 8.191 1.809
114 6 6.415-0.4148
115 7 6.457 0.543
116 10 8.799 1.201
117 9 9.385-0.385
118 8 8.411-0.4113
119 3 5.69-2.69
120 8 6.972 1.028
121 7 7.529-0.5286
122 7 7.354-0.3535
123 8 6.67 1.33
124 8 8.413-0.4131
125 7 7.652-0.6519
126 7 5.628 1.372
127 9 10.26-1.26
128 9 8.189 0.8106
129 9 7.409 1.591
130 4 5.025-1.025
131 6 6.984-0.9839
132 6 6.037-0.03684
133 6 4.334 1.666
134 8 8.16-0.16
135 3 4.09-1.09
136 8 6.029 1.97
137 8 7.363 0.6366
138 6 4.607 1.393
139 10 9.226 0.7736
140 2 4.319-2.319
141 9 7.375 1.625
142 6 5.572 0.4284
143 6 7.702-1.702
144 5 4.45 0.5501
145 4 4.585-0.585
146 7 6.765 0.235
147 5 5.69-0.6903
148 8 7.914 0.08609
149 6 6.721-0.7212
150 9 6.858 2.142
151 6 6.315-0.3149
152 4 4.969-0.9689
153 7 7.234-0.2337
154 2 3.819-1.819
155 8 9.123-1.123
156 9 8.479 0.5215
157 6 6.354-0.3542
158 5 4.425 0.5751
159 7 6.719 0.2809
160 8 7.22 0.7802
161 4 6.277-2.277
162 9 6.163 2.837
163 9 9.582-0.5823
164 9 5.218 3.782
165 7 5.905 1.095
166 5 7.222-2.222
167 7 6.699 0.3009
168 9 10.11-1.109
169 8 6.558 1.442
170 6 5.393 0.6066
171 9 7.765 1.235
172 8 7.873 0.1272
173 7 7.879-0.8787
174 7 7.567-0.567
175 7 6.551 0.4489
176 8 7.228 0.7715
177 10 8.741 1.259
178 6 6.939-0.939
179 6 6.739-0.7385


Goldfeld-Quandt test for Heteroskedasticity
p-valuesAlternative Hypothesis
breakpoint indexgreater2-sidedless
12 0.926 0.148 0.07398
13 0.9 0.1999 0.09996
14 0.9809 0.03812 0.01906
15 0.9797 0.04057 0.02028
16 0.9841 0.03186 0.01593
17 0.9742 0.05156 0.02578
18 0.9717 0.05662 0.02831
19 0.9545 0.09099 0.04549
20 0.9413 0.1173 0.05866
21 0.9663 0.06736 0.03368
22 0.9535 0.09292 0.04646
23 0.9334 0.1333 0.06663
24 0.9066 0.1869 0.09344
25 0.9005 0.199 0.09952
26 0.9746 0.05079 0.02539
27 0.9635 0.07295 0.03648
28 0.9543 0.09132 0.04566
29 0.9371 0.1259 0.06293
30 0.9157 0.1687 0.08434
31 0.8985 0.203 0.1015
32 0.8824 0.2351 0.1176
33 0.8494 0.3013 0.1506
34 0.8848 0.2303 0.1152
35 0.8584 0.2832 0.1416
36 0.8249 0.3502 0.1751
37 0.7891 0.4218 0.2109
38 0.8092 0.3817 0.1908
39 0.7738 0.4524 0.2262
40 0.7301 0.5398 0.2699
41 0.7693 0.4613 0.2307
42 0.7804 0.4393 0.2196
43 0.7399 0.5203 0.2601
44 0.6961 0.6078 0.3039
45 0.6492 0.7017 0.3508
46 0.6126 0.7748 0.3874
47 0.6068 0.7863 0.3932
48 0.5592 0.8816 0.4408
49 0.6309 0.7382 0.3691
50 0.6368 0.7264 0.3632
51 0.6028 0.7943 0.3972
52 0.5573 0.8855 0.4427
53 0.5308 0.9383 0.4692
54 0.4901 0.9801 0.5099
55 0.5056 0.9888 0.4944
56 0.4632 0.9265 0.5368
57 0.4483 0.8967 0.5517
58 0.4382 0.8764 0.5618
59 0.3962 0.7924 0.6038
60 0.3521 0.7043 0.6479
61 0.3229 0.6458 0.6771
62 0.2815 0.5629 0.7185
63 0.2462 0.4924 0.7538
64 0.2106 0.4211 0.7894
65 0.2654 0.5308 0.7346
66 0.2876 0.5753 0.7124
67 0.3553 0.7107 0.6447
68 0.3308 0.6615 0.6692
69 0.3114 0.6228 0.6886
70 0.3134 0.6268 0.6866
71 0.2912 0.5824 0.7088
72 0.2722 0.5443 0.7278
73 0.2383 0.4767 0.7617
74 0.2436 0.4872 0.7564
75 0.2238 0.4475 0.7762
76 0.221 0.442 0.779
77 0.2089 0.4178 0.7911
78 0.205 0.41 0.795
79 0.1862 0.3724 0.8138
80 0.1673 0.3346 0.8327
81 0.1405 0.2811 0.8595
82 0.1283 0.2567 0.8717
83 0.1226 0.2451 0.8774
84 0.1576 0.3151 0.8424
85 0.1334 0.2668 0.8666
86 0.1247 0.2494 0.8753
87 0.1306 0.2612 0.8694
88 0.1141 0.2281 0.8859
89 0.101 0.2019 0.899
90 0.08649 0.173 0.9135
91 0.3159 0.6317 0.6841
92 0.2812 0.5623 0.7188
93 0.2599 0.5197 0.7401
94 0.2299 0.4599 0.7701
95 0.1981 0.3963 0.8019
96 0.2022 0.4044 0.7978
97 0.1784 0.3567 0.8216
98 0.1577 0.3153 0.8423
99 0.1492 0.2984 0.8508
100 0.1288 0.2577 0.8712
101 0.3109 0.6219 0.6891
102 0.282 0.564 0.718
103 0.2458 0.4915 0.7542
104 0.224 0.4479 0.776
105 0.2073 0.4147 0.7927
106 0.2258 0.4517 0.7742
107 0.2631 0.5261 0.7369
108 0.2562 0.5125 0.7438
109 0.2723 0.5445 0.7277
110 0.2417 0.4835 0.7583
111 0.6048 0.7905 0.3952
112 0.6124 0.7752 0.3876
113 0.6411 0.7179 0.3589
114 0.5978 0.8044 0.4022
115 0.5707 0.8585 0.4293
116 0.5635 0.8731 0.4365
117 0.5191 0.9618 0.4809
118 0.4808 0.9615 0.5192
119 0.6209 0.7582 0.3791
120 0.6232 0.7535 0.3768
121 0.5795 0.8411 0.4205
122 0.5334 0.9332 0.4666
123 0.5487 0.9025 0.4513
124 0.5052 0.9897 0.4948
125 0.4617 0.9234 0.5383
126 0.4597 0.9193 0.5403
127 0.4419 0.8837 0.5581
128 0.4117 0.8234 0.5883
129 0.4989 0.9977 0.5011
130 0.511 0.978 0.489
131 0.4729 0.9459 0.5271
132 0.422 0.8439 0.578
133 0.4897 0.9794 0.5103
134 0.4482 0.8964 0.5518
135 0.4234 0.8468 0.5766
136 0.5134 0.9732 0.4866
137 0.468 0.936 0.532
138 0.4707 0.9415 0.5293
139 0.5343 0.9315 0.4657
140 0.6564 0.6872 0.3436
141 0.6755 0.649 0.3245
142 0.6293 0.7413 0.3707
143 0.6159 0.7681 0.3841
144 0.5741 0.8519 0.4259
145 0.5202 0.9596 0.4798
146 0.4975 0.995 0.5025
147 0.4907 0.9813 0.5093
148 0.4313 0.8627 0.5687
149 0.4168 0.8337 0.5832
150 0.5106 0.9787 0.4894
151 0.4452 0.8903 0.5548
152 0.4469 0.8937 0.5531
153 0.377 0.7539 0.623
154 0.5381 0.9238 0.4619
155 0.4898 0.9797 0.5102
156 0.4238 0.8476 0.5762
157 0.3477 0.6953 0.6523
158 0.3247 0.6494 0.6753
159 0.2738 0.5476 0.7262
160 0.2228 0.4456 0.7772
161 0.3411 0.6822 0.6589
162 0.3486 0.6971 0.6514
163 0.3962 0.7923 0.6038
164 0.4567 0.9133 0.5433
165 0.352 0.7041 0.648
166 0.9259 0.1481 0.07406
167 0.8379 0.3241 0.1621


Meta Analysis of Goldfeld-Quandt test for Heteroskedasticity
Description# significant tests% significant testsOK/NOK
1% type I error level0 0OK
5% type I error level30.0192308OK
10% type I error level110.0705128OK


Ramsey RESET F-Test for powers (2 and 3) of fitted values
> reset_test_fitted
	RESET test
data:  mylm
RESET = 6.0483, df1 = 2, df2 = 168, p-value = 0.002907
Ramsey RESET F-Test for powers (2 and 3) of regressors
> reset_test_regressors
	RESET test
data:  mylm
RESET = 0.71112, df1 = 16, df2 = 154, p-value = 0.7797
Ramsey RESET F-Test for powers (2 and 3) of principal components
> reset_test_principal_components
	RESET test
data:  mylm
RESET = 0.61035, df1 = 2, df2 = 168, p-value = 0.5444


Variance Inflation Factors (Multicollinearity)
> vif
   Relative_Advantage  Perceived_Usefulness Perceived_Ease_of_Use 
             1.609698              1.864763              2.409057 
  Information_Quality        System_Quality                groupB 
             2.725858              1.809323              1.461880 
              genderB                     t 
             1.084025              1.227261