Multiple Linear Regression - Estimated Regression Equation
Perceived_Ease_of_Use[t] = -0.160864 + 0.144669Relative_Advantage[t] + 0.40069Perceived_Usefulness[t] + 0.484418Information_Quality[t] + 0.0948457groupB[t] + 0.0649755genderB[t] + e[t]


Multiple Linear Regression - Ordinary Least Squares
VariableParameterS.D.T-STAT
H0: parameter = 0		2-tail p-value1-tail p-value
(Intercept)-0.1609 0.9452-1.7020e-01 0.8651 0.4325
Relative_Advantage+0.1447 0.08408+1.7210e+00 0.08713 0.04356
Perceived_Usefulness+0.4007 0.07812+5.1290e+00 7.744e-07 3.872e-07
Information_Quality+0.4844 0.06633+7.3030e+00 9.838e-12 4.919e-12
groupB+0.09485 0.3474+2.7300e-01 0.7852 0.3926
genderB+0.06498 0.2895+2.2450e-01 0.8227 0.4113


Multiple Linear Regression - Regression Statistics
Multiple R 0.7638
R-squared 0.5834
Adjusted R-squared 0.5714
F-TEST (value) 48.46
F-TEST (DF numerator)5
F-TEST (DF denominator)173
p-value 0
Multiple Linear Regression - Residual Statistics
Residual Standard Deviation 1.876
Sum Squared Residuals 609.1


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 15.56-5.56
2 15 15.42-0.4197
3 14 13.91 0.08965
4 14 17.23-3.228
5 8 12.7-4.699
6 19 17.8 1.204
7 17 15.99 1.007
8 18 17.31 0.6882
9 10 8.535 1.465
10 15 15.44-0.4433
11 16 13.96 2.038
12 12 12.16-0.1589
13 13 14.54-1.539
14 10 9.904 0.09575
15 14 12.82 1.18
16 15 14.96 0.03709
17 20 16.86 3.145
18 9 12.57-3.574
19 12 14.62-2.619
20 13 12.08 0.9248
21 16 14.88 1.121
22 12 14.99-2.992
23 14 14.77-0.7678
24 15 15.65-0.6529
25 19 16.71 2.29
26 16 13.07 2.928
27 16 14.36 1.637
28 14 13 1.002
29 14 14.57-0.5728
30 14 11.8 2.204
31 13 14.07-1.067
32 18 17.19 0.8052
33 15 14.13 0.8653
34 15 13.47 1.533
35 15 15.88-0.8773
36 13 12.3 0.7021
37 14 11.67 2.326
38 15 13.82 1.178
39 14 13.85 0.1506
40 19 16.62 2.378
41 16 15.51 0.4917
42 16 14.38 1.62
43 12 12.97-0.9708
44 10 10.62-0.6171
45 11 13.51-2.51
46 13 14-1.005
47 14 12.71 1.292
48 11 12.4-1.396
49 11 13-1.998
50 16 13.88 2.117
51 9 12.41-3.415
52 16 13.42 2.583
53 19 16.85 2.154
54 13 13.1-0.1049
55 15 12.3 2.696
56 14 14.24-0.2412
57 15 14.54 0.4606
58 11 10.28 0.7167
59 14 12.27 1.73
60 15 15.36-0.3636
61 17 15.5 1.503
62 16 15.47 0.5297
63 13 11.71 1.292
64 15 12.84 2.162
65 14 13.96 0.03758
66 15 14.93 0.06875
67 14 13.82 0.1822
68 12 13.1-1.105
69 12 14.51-2.512
70 15 15.51-0.5083
71 17 17.13-0.1338
72 13 13.58-0.5782
73 5 7.274-2.274
74 7 9.841-2.841
75 10 9.585 0.415
76 15 13.75 1.245
77 9 8.346 0.6544
78 9 12.06-3.064
79 15 16.07-1.072
80 14 15.15-1.154
81 11 13.95-2.946
82 18 15.71 2.291
83 20 18.6 1.402
84 20 18.6 1.402
85 16 16.68-0.6827
86 15 12.08 2.921
87 14 12.25 1.753
88 13 13.34-0.3374
89 18 18.11-0.1132
90 14 15.33-1.332
91 12 14.28-2.283
92 9 9.373-0.3735
93 19 15 3.999
94 13 12.77 0.2348
95 12 13.08-1.081
96 14 13.67 0.3269
97 6 12.14-6.14
98 14 12.45 1.552
99 11 10.7 0.3049
100 11 12.08-1.079
101 14 13.72 0.2765
102 12 14.91-2.913
103 19 18.2 0.8031
104 13 15.3-2.299
105 14 12.74 1.256
106 17 16.83 0.1726
107 12 13.21-1.211
108 16 14.44 1.555
109 15 15.73-0.7304
110 15 12.93 2.067
111 15 15.05-0.04664
112 16 14.67 1.33
113 15 17.3-2.301
114 12 10.37 1.634
115 13 11.67 1.326
116 14 14.83-0.8288
117 17 16.52 0.4847
118 14 16.48-2.477
119 14 14.32-0.3187
120 14 11.9 2.097
121 15 14.56 0.4418
122 11 14.22-3.218
123 11 13.67-2.673
124 16 15.17 0.8315
125 12 14.73-2.726
126 12 14.09-2.094
127 19 18.05 0.9518
128 18 17.81 0.1873
129 16 11.73 4.269
130 16 12.52 3.481
131 13 13.61-0.6121
132 11 11.05-0.04942
133 10 10-0.004488
134 14 13.96 0.03758
135 14 10.77 3.232
136 14 13.52 0.4827
137 16 12.27 3.726
138 10 10.07-0.06946
139 16 15.48 0.5234
140 7 11.63-4.63
141 16 14.44 1.555
142 15 11.84 3.16
143 17 15.18 1.824
144 11 12.58-1.576
145 11 10.15 0.8508
146 10 13.36-3.361
147 13 13.04-0.03691
148 14 15.62-1.619
149 13 14.32-1.319
150 13 14.19-1.189
151 12 13.07-1.072
152 10 11.67-1.672
153 15 15.01-0.008702
154 6 7.013-1.013
155 15 14.17 0.8279
156 15 15.08-0.0848
157 11 12.41-1.415
158 14 12.43 1.569
159 14 14.04-0.0439
160 16 15.36 0.6364
161 12 12.01-0.01422
162 15 13.35 1.646
163 20 16.45 3.55
164 12 13-1.004
165 9 10.52-1.522
166 13 12.85 0.1471
167 15 16.75-1.746
168 19 18.94 0.06265
169 11 11.93-0.9345
170 11 11.33-0.3325
171 17 14.99 2.015
172 15 13.17 1.83
173 14 13.11 0.891
174 15 12.93 2.067
175 11 11.98-0.9755
176 12 14.33-2.33
177 15 17.51-2.507
178 16 15.2 0.7962
179 16 15.35 0.6515


Goldfeld-Quandt test for Heteroskedasticity
p-valuesAlternative Hypothesis
breakpoint indexgreater2-sidedless
9 0.9186 0.1628 0.0814
10 0.9336 0.1328 0.06641
11 0.9823 0.03532 0.01766
12 0.9663 0.06747 0.03373
13 0.9699 0.0601 0.03005
14 0.9492 0.1017 0.05083
15 0.9208 0.1583 0.07917
16 0.8821 0.2358 0.1179
17 0.8887 0.2226 0.1113
18 0.9311 0.1378 0.06888
19 0.9412 0.1176 0.05881
20 0.9186 0.1627 0.08137
21 0.8885 0.223 0.1115
22 0.8707 0.2586 0.1293
23 0.8308 0.3384 0.1692
24 0.7852 0.4296 0.2148
25 0.7524 0.4951 0.2476
26 0.7231 0.5538 0.2769
27 0.7823 0.4354 0.2177
28 0.7881 0.4238 0.2119
29 0.7485 0.503 0.2515
30 0.7422 0.5155 0.2578
31 0.6951 0.6098 0.3049
32 0.6504 0.6992 0.3496
33 0.6003 0.7994 0.3997
34 0.5791 0.8418 0.4209
35 0.5279 0.9441 0.4721
36 0.5839 0.8321 0.4161
37 0.6011 0.7978 0.3989
38 0.5871 0.8257 0.4129
39 0.5482 0.9037 0.4518
40 0.6057 0.7886 0.3943
41 0.5543 0.8914 0.4457
42 0.5354 0.9293 0.4646
43 0.4953 0.9906 0.5047
44 0.4493 0.8986 0.5507
45 0.5492 0.9017 0.4508
46 0.5055 0.9891 0.4945
47 0.4772 0.9544 0.5228
48 0.5077 0.9845 0.4923
49 0.4925 0.9849 0.5075
50 0.5369 0.9261 0.4631
51 0.6934 0.6132 0.3066
52 0.7587 0.4826 0.2413
53 0.7824 0.4352 0.2176
54 0.7467 0.5066 0.2533
55 0.7866 0.4268 0.2134
56 0.751 0.4979 0.249
57 0.7138 0.5724 0.2862
58 0.6749 0.6502 0.3251
59 0.6564 0.6872 0.3436
60 0.6201 0.7598 0.3799
61 0.5964 0.8071 0.4036
62 0.5531 0.8938 0.4469
63 0.5476 0.9049 0.4524
64 0.5479 0.9042 0.4521
65 0.5031 0.9938 0.4969
66 0.4585 0.917 0.5415
67 0.4137 0.8274 0.5863
68 0.3938 0.7876 0.6062
69 0.4159 0.8318 0.5841
70 0.3772 0.7544 0.6228
71 0.3439 0.6878 0.6561
72 0.3134 0.6268 0.6866
73 0.3389 0.6778 0.6611
74 0.3776 0.7551 0.6224
75 0.3508 0.7016 0.6492
76 0.3289 0.6579 0.6711
77 0.2939 0.5878 0.7061
78 0.3647 0.7293 0.6353
79 0.3468 0.6936 0.6532
80 0.3452 0.6905 0.6548
81 0.4173 0.8347 0.5827
82 0.4511 0.9023 0.5489
83 0.4318 0.8637 0.5682
84 0.4132 0.8265 0.5868
85 0.3763 0.7526 0.6237
86 0.4401 0.8803 0.5599
87 0.4356 0.8711 0.5644
88 0.3936 0.7872 0.6064
89 0.3526 0.7052 0.6474
90 0.3338 0.6677 0.6662
91 0.3506 0.7013 0.6494
92 0.3197 0.6394 0.6803
93 0.4814 0.9628 0.5186
94 0.4385 0.8769 0.5615
95 0.4129 0.8259 0.5871
96 0.3719 0.7437 0.6281
97 0.7758 0.4485 0.2242
98 0.7627 0.4746 0.2373
99 0.7343 0.5314 0.2657
100 0.7087 0.5827 0.2913
101 0.6787 0.6426 0.3213
102 0.7479 0.5042 0.2521
103 0.7169 0.5662 0.2831
104 0.732 0.5359 0.268
105 0.7193 0.5614 0.2807
106 0.6809 0.6381 0.3191
107 0.658 0.6841 0.342
108 0.6465 0.707 0.3535
109 0.6083 0.7835 0.3917
110 0.6105 0.779 0.3895
111 0.5662 0.8676 0.4338
112 0.5699 0.8603 0.4301
113 0.583 0.8339 0.417
114 0.5726 0.8548 0.4274
115 0.5574 0.8853 0.4426
116 0.5262 0.9475 0.4738
117 0.4846 0.9692 0.5154
118 0.5289 0.9423 0.4711
119 0.4824 0.9647 0.5176
120 0.4955 0.991 0.5045
121 0.4559 0.9118 0.5441
122 0.5403 0.9193 0.4597
123 0.5871 0.8258 0.4129
124 0.5448 0.9104 0.4552
125 0.6328 0.7344 0.3672
126 0.6387 0.7226 0.3613
127 0.6043 0.7913 0.3957
128 0.5582 0.8836 0.4418
129 0.7107 0.5785 0.2893
130 0.8184 0.3631 0.1816
131 0.7864 0.4273 0.2136
132 0.7468 0.5065 0.2532
133 0.705 0.5899 0.295
134 0.6593 0.6814 0.3407
135 0.8063 0.3875 0.1937
136 0.7728 0.4543 0.2272
137 0.8586 0.2827 0.1414
138 0.8257 0.3486 0.1743
139 0.7884 0.4233 0.2116
140 0.9018 0.1965 0.09823
141 0.894 0.2121 0.106
142 0.9572 0.08563 0.04281
143 0.9538 0.09245 0.04623
144 0.9406 0.1188 0.05939
145 0.9347 0.1306 0.06531
146 0.9643 0.07134 0.03567
147 0.9498 0.1004 0.0502
148 0.9535 0.09293 0.04647
149 0.942 0.116 0.058
150 0.9409 0.1182 0.05909
151 0.9189 0.1623 0.08115
152 0.907 0.1861 0.09303
153 0.8753 0.2495 0.1247
154 0.8499 0.3003 0.1501
155 0.8072 0.3857 0.1928
156 0.764 0.4719 0.236
157 0.7207 0.5586 0.2793
158 0.8069 0.3863 0.1931
159 0.7627 0.4746 0.2373
160 0.7087 0.5825 0.2913
161 0.6462 0.7077 0.3538
162 0.6547 0.6907 0.3453
163 0.7482 0.5036 0.2518
164 0.7059 0.5882 0.2941
165 0.7913 0.4173 0.2087
166 0.7022 0.5955 0.2978
167 0.592 0.8161 0.408
168 0.4623 0.9246 0.5377
169 0.3716 0.7432 0.6284
170 0.5911 0.8178 0.4089


Meta Analysis of Goldfeld-Quandt test for Heteroskedasticity
Description# significant tests% significant testsOK/NOK
1% type I error level0 0OK
5% type I error level10.00617284OK
10% type I error level70.0432099OK


Ramsey RESET F-Test for powers (2 and 3) of fitted values
> reset_test_fitted
	RESET test
data:  mylm
RESET = 1.6862, df1 = 2, df2 = 171, p-value = 0.1883
Ramsey RESET F-Test for powers (2 and 3) of regressors
> reset_test_regressors
	RESET test
data:  mylm
RESET = 1.2178, df1 = 10, df2 = 163, p-value = 0.2831
Ramsey RESET F-Test for powers (2 and 3) of principal components
> reset_test_principal_components
	RESET test
data:  mylm
RESET = 1.9278, df1 = 2, df2 = 171, p-value = 0.1486


Variance Inflation Factors (Multicollinearity)
> vif
  Relative_Advantage Perceived_Usefulness  Information_Quality 
            1.548539             1.613161             1.676126 
              groupB              genderB 
            1.219931             1.064747