Multiple Linear Regression - Estimated Regression Equation
Perceived_Ease_of_Use[t] = + 0.491897 + 0.205396Intention_to_Use[t] + 0.0819469Relative_Advantage[t] + 0.375556Perceived_Usefulness[t] + 0.500406Information_Quality[t] -0.0487628System_Quality[t] + 0.0520721genderB[t] -0.0495874groupB[t] + e[t]


Multiple Linear Regression - Ordinary Least Squares
VariableParameterS.D.T-STAT
H0: parameter = 0		2-tail p-value1-tail p-value
(Intercept)+0.4919 1.108+4.4390e-01 0.6577 0.3288
Intention_to_Use+0.2054 0.1067+1.9250e+00 0.05584 0.02792
Relative_Advantage+0.08195 0.09181+8.9250e-01 0.3734 0.1867
Perceived_Usefulness+0.3756 0.07895+4.7570e+00 4.161e-06 2.08e-06
Information_Quality+0.5004 0.0748+6.6900e+00 3.046e-10 1.523e-10
System_Quality-0.04876 0.04163-1.1710e+00 0.2432 0.1216
genderB+0.05207 0.2906+1.7920e-01 0.858 0.429
groupB-0.04959 0.3626-1.3670e-01 0.8914 0.4457


Multiple Linear Regression - Regression Statistics
Multiple R 0.7705
R-squared 0.5937
Adjusted R-squared 0.577
F-TEST (value) 35.69
F-TEST (DF numerator)7
F-TEST (DF denominator)171
p-value 0
Multiple Linear Regression - Residual Statistics
Residual Standard Deviation 1.864
Sum Squared Residuals 594.2


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 15.82-5.824
2 15 15.62-0.6217
3 14 14.03-0.03363
4 14 17.03-3.027
5 8 12.23-4.228
6 19 17.86 1.142
7 17 15.97 1.029
8 18 17.44 0.5556
9 10 8.872 1.128
10 15 15.07-0.06676
11 16 14.19 1.808
12 12 12.57-0.5702
13 13 14.72-1.724
14 10 9.329 0.6707
15 14 12.15 1.849
16 15 15.01-0.01301
17 20 16.64 3.359
18 9 12.79-3.792
19 12 14.45-2.451
20 13 11.81 1.192
21 16 15.15 0.8473
22 12 14.74-2.74
23 14 14.67-0.6662
24 15 15.55-0.5525
25 19 16.26 2.744
26 16 13.67 2.331
27 16 14.35 1.648
28 14 12.9 1.096
29 14 14.63-0.6326
30 14 12.01 1.988
31 13 13.55-0.549
32 18 17.4 0.5995
33 15 14.1 0.9033
34 15 13.97 1.031
35 15 15.86-0.8593
36 13 12.24 0.7578
37 14 11.74 2.264
38 15 14.1 0.9024
39 14 13.83 0.1673
40 19 16.56 2.436
41 16 15.98 0.02117
42 16 14.56 1.435
43 12 13.15-1.149
44 10 10.31-0.3114
45 11 13.4-2.404
46 13 13.98-0.9792
47 14 13.25 0.7517
48 11 12.52-1.516
49 11 13.43-2.433
50 16 13.69 2.307
51 9 12.64-3.638
52 16 13.33 2.666
53 19 16.53 2.471
54 13 13.29-0.2851
55 15 12.03 2.974
56 14 14.39-0.3893
57 15 14.97 0.03233
58 11 10.2 0.7951
59 14 12.35 1.65
60 15 15.44-0.4373
61 17 15.45 1.55
62 16 15.62 0.3843
63 13 11.87 1.129
64 15 13.07 1.927
65 14 14.58-0.5825
66 15 15.39-0.3883
67 14 14.35-0.3543
68 12 13.19-1.188
69 12 14.38-2.383
70 15 15.36-0.3626
71 17 17.11-0.1124
72 13 13.39-0.3925
73 5 7.259-2.259
74 7 9.54-2.54
75 10 9.403 0.597
76 15 13.65 1.354
77 9 8.008 0.9918
78 9 12.29-3.286
79 15 16.05-1.05
80 14 15.25-1.255
81 11 13.8-2.8
82 18 16.05 1.95
83 20 18.6 1.402
84 20 18.34 1.656
85 16 16.67-0.667
86 15 12.32 2.675
87 14 12.17 1.828
88 13 13.19-0.1864
89 18 18-0.0004664
90 14 15.21-1.207
91 12 13.4-1.403
92 9 9.432-0.4318
93 19 14.85 4.149
94 13 12.66 0.3388
95 12 13.14-1.137
96 14 13.82 0.1769
97 6 11.72-5.725
98 14 12.22 1.785
99 11 10.38 0.6221
100 11 11.87-0.8651
101 14 14.28-0.2831
102 12 14.96-2.964
103 19 18.23 0.7668
104 13 15.29-2.288
105 14 12.52 1.483
106 17 16.4 0.6027
107 12 12.62-0.6201
108 16 14.57 1.432
109 15 15.88-0.8787
110 15 13.07 1.932
111 15 14.07 0.9275
112 16 15.14 0.8558
113 15 17.61-2.606
114 12 10.41 1.586
115 13 11.89 1.107
116 14 15-0.9956
117 17 16.42 0.5827
118 14 16.28-2.276
119 14 13.97 0.02923
120 14 12.21 1.793
121 15 14.53 0.4679
122 11 14.16-3.162
123 11 14.06-3.057
124 16 15.15 0.8504
125 12 14.44-2.44
126 12 14.34-2.339
127 19 17.66 1.344
128 18 18.01-0.01101
129 16 12.2 3.805
130 16 12.41 3.595
131 13 13.4-0.3962
132 11 11-0.004675
133 10 10.37-0.37
134 14 13.93 0.07207
135 14 10.67 3.333
136 14 13.95 0.04594
137 16 12.25 3.754
138 10 10.37-0.3734
139 16 15.55 0.4468
140 7 10.97-3.975
141 16 14.72 1.275
142 15 11.98 3.021
143 17 14.74 2.258
144 11 12.86-1.863
145 11 10.14 0.8613
146 10 13.32-3.325
147 13 12.93 0.06756
148 14 15.56-1.559
149 13 13.95-0.953
150 13 14.67-1.675
151 12 12.96-0.9552
152 10 11.46-1.465
153 15 14.94 0.0583
154 6 6.548-0.5483
155 15 13.87 1.133
156 15 15.18-0.1814
157 11 12.29-1.286
158 14 12.81 1.19
159 14 14.13-0.1334
160 16 15.78 0.2213
161 12 11.55 0.4515
162 15 13.96 1.044
163 20 16.32 3.684
164 12 13.59-1.591
165 9 10.51-1.507
166 13 12.47 0.5297
167 15 16.73-1.726
168 19 18.63 0.3732
169 11 12.05-1.048
170 11 11.46-0.4571
171 17 15.31 1.688
172 15 13.19 1.809
173 14 12.74 1.264
174 15 12.91 2.089
175 11 11.76-0.7647
176 12 14.38-2.384
177 15 17.74-2.743
178 16 14.93 1.073
179 16 15.3 0.6989


Goldfeld-Quandt test for Heteroskedasticity
p-valuesAlternative Hypothesis
breakpoint indexgreater2-sidedless
11 0.9885 0.02303 0.01151
12 0.9829 0.03425 0.01712
13 0.9849 0.03028 0.01514
14 0.9773 0.04534 0.02267
15 0.9626 0.07483 0.03741
16 0.9385 0.1229 0.06146
17 0.9448 0.1104 0.0552
18 0.9655 0.06893 0.03446
19 0.9707 0.05862 0.02931
20 0.9556 0.08886 0.04443
21 0.9346 0.1309 0.06545
22 0.9171 0.1657 0.08285
23 0.8862 0.2277 0.1138
24 0.848 0.304 0.152
25 0.8367 0.3266 0.1633
26 0.8065 0.3869 0.1935
27 0.8448 0.3105 0.1552
28 0.8315 0.3369 0.1685
29 0.7897 0.4207 0.2103
30 0.7599 0.4802 0.2401
31 0.7093 0.5813 0.2907
32 0.6838 0.6324 0.3162
33 0.6324 0.7352 0.3676
34 0.58 0.84 0.42
35 0.5252 0.9495 0.4748
36 0.5911 0.8178 0.4089
37 0.5772 0.8456 0.4228
38 0.5634 0.8732 0.4366
39 0.5128 0.9744 0.4872
40 0.6063 0.7873 0.3937
41 0.5562 0.8877 0.4438
42 0.5159 0.9682 0.4841
43 0.4954 0.9909 0.5046
44 0.4655 0.9311 0.5345
45 0.5607 0.8786 0.4393
46 0.5122 0.9755 0.4878
47 0.4625 0.9249 0.5375
48 0.5097 0.9807 0.4903
49 0.5105 0.9789 0.4895
50 0.5667 0.8667 0.4333
51 0.747 0.5061 0.253
52 0.8163 0.3675 0.1837
53 0.8439 0.3122 0.1561
54 0.8143 0.3714 0.1857
55 0.8558 0.2884 0.1442
56 0.8278 0.3443 0.1722
57 0.7955 0.409 0.2045
58 0.7618 0.4763 0.2382
59 0.7433 0.5134 0.2567
60 0.7107 0.5786 0.2893
61 0.6892 0.6217 0.3108
62 0.6469 0.7061 0.3531
63 0.6388 0.7224 0.3612
64 0.6305 0.739 0.3695
65 0.5904 0.8192 0.4096
66 0.5481 0.9038 0.4519
67 0.5037 0.9925 0.4963
68 0.4847 0.9693 0.5153
69 0.5032 0.9936 0.4968
70 0.4609 0.9219 0.5391
71 0.4277 0.8555 0.5723
72 0.3923 0.7845 0.6077
73 0.4206 0.8412 0.5794
74 0.4501 0.9002 0.5499
75 0.4231 0.8462 0.5769
76 0.3996 0.7992 0.6004
77 0.3666 0.7331 0.6334
78 0.4657 0.9315 0.5343
79 0.4459 0.8919 0.5541
80 0.4452 0.8904 0.5548
81 0.5149 0.9702 0.4851
82 0.5314 0.9373 0.4686
83 0.5081 0.9838 0.4919
84 0.4932 0.9865 0.5068
85 0.4549 0.9098 0.5451
86 0.5066 0.9867 0.4934
87 0.5004 0.9993 0.4996
88 0.4564 0.9128 0.5436
89 0.413 0.826 0.587
90 0.3909 0.7818 0.6091
91 0.3751 0.7501 0.6249
92 0.3449 0.6898 0.6551
93 0.5256 0.9488 0.4744
94 0.4823 0.9645 0.5177
95 0.4635 0.927 0.5365
96 0.4202 0.8403 0.5798
97 0.7674 0.4653 0.2326
98 0.7619 0.4762 0.2381
99 0.7377 0.5246 0.2623
100 0.7071 0.5857 0.2929
101 0.6758 0.6484 0.3242
102 0.7514 0.4972 0.2486
103 0.7187 0.5627 0.2813
104 0.7306 0.5388 0.2694
105 0.7236 0.5527 0.2764
106 0.6867 0.6267 0.3133
107 0.6503 0.6993 0.3497
108 0.6351 0.7298 0.3649
109 0.5972 0.8056 0.4028
110 0.5924 0.8152 0.4076
111 0.5583 0.8834 0.4417
112 0.5399 0.9203 0.4601
113 0.5657 0.8686 0.4343
114 0.5488 0.9025 0.4512
115 0.5233 0.9535 0.4767
116 0.4947 0.9894 0.5053
117 0.4536 0.9072 0.5464
118 0.4836 0.9672 0.5164
119 0.4373 0.8747 0.5627
120 0.4354 0.8708 0.5646
121 0.3955 0.791 0.6045
122 0.4808 0.9616 0.5192
123 0.5655 0.8689 0.4345
124 0.5215 0.957 0.4785
125 0.5908 0.8184 0.4092
126 0.6037 0.7926 0.3963
127 0.5791 0.8419 0.4209
128 0.5312 0.9376 0.4688
129 0.6435 0.713 0.3565
130 0.7765 0.4469 0.2235
131 0.7387 0.5227 0.2613
132 0.6942 0.6117 0.3059
133 0.6462 0.7076 0.3538
134 0.5985 0.803 0.4015
135 0.764 0.4721 0.236
136 0.7202 0.5597 0.2798
137 0.8326 0.3349 0.1674
138 0.795 0.41 0.205
139 0.7542 0.4917 0.2458
140 0.8517 0.2967 0.1484
141 0.8443 0.3113 0.1557
142 0.9332 0.1335 0.06676
143 0.9324 0.1353 0.06763
144 0.9223 0.1555 0.07774
145 0.9047 0.1906 0.09528
146 0.9516 0.09677 0.04839
147 0.9325 0.1349 0.06747
148 0.9336 0.1328 0.0664
149 0.9116 0.1768 0.0884
150 0.9251 0.1498 0.07491
151 0.8974 0.2052 0.1026
152 0.882 0.2359 0.118
153 0.8452 0.3096 0.1548
154 0.8134 0.3732 0.1866
155 0.7604 0.4792 0.2396
156 0.709 0.582 0.291
157 0.6656 0.6689 0.3344
158 0.6861 0.6278 0.3139
159 0.6275 0.7451 0.3725
160 0.5425 0.915 0.4575
161 0.4693 0.9385 0.5307
162 0.4558 0.9116 0.5442
163 0.6313 0.7374 0.3687
164 0.5962 0.8076 0.4038
165 0.634 0.7321 0.366
166 0.7447 0.5107 0.2553
167 0.6799 0.6401 0.3201
168 0.5107 0.9786 0.4893


Meta Analysis of Goldfeld-Quandt test for Heteroskedasticity
Description# significant tests% significant testsOK/NOK
1% type I error level0 0OK
5% type I error level40.0253165OK
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 = 1.1799, df1 = 2, df2 = 169, p-value = 0.3098
Ramsey RESET F-Test for powers (2 and 3) of regressors
> reset_test_regressors
	RESET test
data:  mylm
RESET = 1.5426, df1 = 14, df2 = 157, p-value = 0.1018
Ramsey RESET F-Test for powers (2 and 3) of principal components
> reset_test_principal_components
	RESET test
data:  mylm
RESET = 3.5881, df1 = 2, df2 = 169, p-value = 0.02978


Variance Inflation Factors (Multicollinearity)
> vif
    Intention_to_Use   Relative_Advantage Perceived_Usefulness 
            2.246827             1.870971             1.669625 
 Information_Quality       System_Quality              genderB 
            2.159749             1.876024             1.086998 
              groupB 
            1.346929