Multiple Linear Regression - Estimated Regression Equation
Intention_to_Use[t] = -1.06965 + 0.410284Relative_Advantage[t] + 0.141902Perceived_Ease_of_Use[t] + 0.107823System_Quality[t] + e[t]


Multiple Linear Regression - Ordinary Least Squares
VariableParameterS.D.T-STAT
H0: parameter = 0		2-tail p-value1-tail p-value
(Intercept)-1.07 0.7781-1.3750e+00 0.171 0.0855
Relative_Advantage+0.4103 0.058+7.0730e+00 3.486e-11 1.743e-11
Perceived_Ease_of_Use+0.1419 0.04262+3.3290e+00 0.001062 0.0005309
System_Quality+0.1078 0.02607+4.1360e+00 5.479e-05 2.739e-05


Multiple Linear Regression - Regression Statistics
Multiple R 0.7219
R-squared 0.5212
Adjusted R-squared 0.513
F-TEST (value) 63.49
F-TEST (DF numerator)3
F-TEST (DF denominator)175
p-value 0
Multiple Linear Regression - Residual Statistics
Residual Standard Deviation 1.37
Sum Squared Residuals 328.5


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 8.334 1.666
2 8 7.791 0.2085
3 8 6.937 1.063
4 9 9.225-0.2249
5 5 7.014-2.014
6 10 9.934 0.06558
7 8 8.096-0.09629
8 9 9.146-0.1456
9 8 6.046 1.954
10 7 8.136-1.136
11 10 8.883 1.117
12 10 7.084 2.916
13 9 7.421 1.579
14 4 6.261-2.261
15 4 6.44-2.44
16 8 7.402 0.5978
17 9 9.471-0.4714
18 10 7.782 2.218
19 8 7.905 0.09511
20 5 6.364-1.364
21 10 7.868 2.132
22 8 8.725-0.7255
23 7 7.65-0.6496
24 8 8.223-0.2228
25 8 9.135-1.135
26 9 6.077 2.923
27 8 8.451-0.4515
28 6 7.218-1.218
29 8 8.255-0.2545
30 8 7.218 0.7817
31 5 7.442-2.442
32 9 8.023 0.9774
33 8 8.007-0.007129
34 8 6.237 1.763
35 8 8.612-0.612
36 6 5.154 0.8462
37 6 6.29-0.2899
38 9 7.705 1.295
39 8 7.066 0.9343
40 9 9.222-0.2217
41 10 7.739 2.261
42 8 7.739 0.2613
43 8 7.539 0.4606
44 7 7.426-0.4264
45 7 6.619 0.381
46 10 9.083 0.917
47 8 6.182 1.818
48 7 5.777 1.223
49 10 7.44 2.56
50 7 8.149-1.149
51 7 5.386 1.614
52 9 8.904 0.09621
53 9 10.37-1.366
54 8 6.99 1.01
55 6 7.489-1.489
56 8 7.455 0.5451
57 9 7.166 1.834
58 2 3.792-1.792
59 6 5.685 0.315
60 8 7.294 0.7056
61 8 8.528-0.5276
62 7 7.805-0.8046
63 8 7.702 0.2977
64 6 5.611 0.3888
65 10 7.736 2.264
66 10 8.31 1.69
67 10 7.65 2.35
68 8 7.063 0.9367
69 8 8.207-0.2074
70 7 7.597-0.5968
71 10 8.656 1.344
72 5 6.882-1.882
73 3 2.833 0.1675
74 2 3.742-1.742
75 3 4.686-1.686
76 4 5.914-1.914
77 2 3.939-1.939
78 6 5.58 0.4196
79 8 8.115-0.115
80 8 6.85 1.15
81 5 5.583-0.5827
82 10 9.361 0.6388
83 9 9.645-0.645
84 8 9.753-1.753
85 9 8.883 0.1172
86 8 6.668 1.332
87 5 5.664-0.664
88 7 7.421-0.4209
89 9 9.577-0.5769
90 8 8.491-0.4912
91 4 7.689-3.689
92 7 6.617 0.3834
93 8 8.683-0.6826
94 7 7.4-0.3999
95 7 7.15-0.1501
96 9 7.778 1.222
97 6 6.125-0.1251
98 7 7.973-0.973
99 4 4.762-0.7622
100 6 6.209-0.2087
101 10 6.548 3.452
102 9 8.207 0.7926
103 10 9.934 0.06558
104 8 7.226 0.7738
105 4 5.901-1.901
106 8 9.758-1.758
107 5 7.192-2.192
108 8 7.847 0.1534
109 9 8.028 0.9719
110 8 7.791 0.2085
111 4 7.941-3.941
112 8 6.271 1.729
113 10 7.833 2.167
114 6 6.201-0.2007
115 7 6.256 0.7442
116 10 8.599 1.401
117 9 9.025-0.02468
118 8 8.102-0.1019
119 3 6.182-3.182
120 8 7.024 0.9763
121 7 7.381-0.3812
122 7 7.116-0.1161
123 8 6.382 1.618
124 8 8.149-0.149
125 7 7.71-0.7103
126 7 5.832 1.168
127 9 10.37-1.366
128 9 8.756 0.2437
129 9 7.826 1.174
130 4 5.364-1.364
131 6 6.903-0.9028
132 6 5.583 0.4173
133 6 4.902 1.098
134 8 8.276-0.2755
135 3 4.757-1.757
136 8 6.829 1.171
137 8 8.278-0.2779
138 6 5.01 0.9905
139 10 9.509 0.4913
140 2 4.605-2.605
141 9 7.954 1.046
142 6 6.043-0.04253
143 6 8.83-2.83
144 5 4.612 0.3877
145 4 5.238-1.238
146 7 6.261 0.7386
147 5 6.277-1.277
148 8 8.491-0.4912
149 6 7.442-1.442
150 9 7.4 1.6
151 6 5.725 0.2754
152 4 5.01-1.01
153 7 8.007-1.007
154 2 4.442-2.442
155 8 9.259-1.259
156 9 8.115 0.885
157 6 5.993 0.006976
158 5 4.951 0.04877
159 7 7.239-0.2393
160 8 6.682 1.318
161 4 6.027-2.027
162 9 6.668 2.332
163 9 9.558-0.5582
164 9 5.551 3.449
165 7 6.961 0.03892
166 5 6.99-1.99
167 7 6.992 0.008076
168 9 9.955-0.9554
169 8 6.122 1.878
170 6 5.562 0.4383
171 9 8.809 0.191
172 8 7.597 0.4032
173 7 7.692-0.6916
174 7 7.684-0.6837
175 7 7.784-0.784
176 8 6.869 1.131
177 10 8.438 1.562
178 6 7.652-1.652
179 6 7.415-1.415


Goldfeld-Quandt test for Heteroskedasticity
p-valuesAlternative Hypothesis
breakpoint indexgreater2-sidedless
7 0.7074 0.5853 0.2926
8 0.6007 0.7986 0.3993
9 0.6211 0.7577 0.3789
10 0.5359 0.9282 0.4641
11 0.4973 0.9947 0.5027
12 0.7253 0.5494 0.2747
13 0.6712 0.6576 0.3288
14 0.871 0.258 0.129
15 0.9314 0.1372 0.0686
16 0.907 0.1861 0.09303
17 0.8721 0.2557 0.1279
18 0.8818 0.2363 0.1182
19 0.8423 0.3154 0.1577
20 0.8319 0.3361 0.1681
21 0.8764 0.2473 0.1236
22 0.869 0.262 0.131
23 0.8362 0.3277 0.1638
24 0.7945 0.411 0.2055
25 0.7853 0.4294 0.2147
26 0.899 0.202 0.101
27 0.8739 0.2523 0.1261
28 0.8669 0.2661 0.1331
29 0.8321 0.3358 0.1679
30 0.8042 0.3917 0.1958
31 0.8784 0.2433 0.1216
32 0.8592 0.2815 0.1408
33 0.8252 0.3496 0.1748
34 0.8252 0.3496 0.1748
35 0.7962 0.4077 0.2039
36 0.7598 0.4805 0.2402
37 0.7265 0.547 0.2735
38 0.7125 0.575 0.2875
39 0.6785 0.6429 0.3215
40 0.6307 0.7386 0.3693
41 0.6889 0.6222 0.3111
42 0.6422 0.7156 0.3578
43 0.5956 0.8089 0.4044
44 0.5501 0.8999 0.4499
45 0.5004 0.9993 0.4996
46 0.4786 0.9572 0.5214
47 0.4807 0.9613 0.5193
48 0.4501 0.9002 0.5499
49 0.5524 0.8953 0.4476
50 0.5481 0.9038 0.4519
51 0.5339 0.9322 0.4661
52 0.4861 0.9723 0.5139
53 0.467 0.934 0.533
54 0.4337 0.8674 0.5663
55 0.4628 0.9256 0.5372
56 0.4199 0.8399 0.5801
57 0.4348 0.8697 0.5652
58 0.5576 0.8848 0.4424
59 0.5135 0.9729 0.4865
60 0.4756 0.9512 0.5244
61 0.4367 0.8733 0.5633
62 0.4139 0.8278 0.5861
63 0.3717 0.7435 0.6283
64 0.3316 0.6632 0.6684
65 0.3967 0.7935 0.6033
66 0.4165 0.833 0.5835
67 0.4941 0.9883 0.5059
68 0.4664 0.9328 0.5336
69 0.4265 0.853 0.5735
70 0.3961 0.7922 0.6039
71 0.3955 0.7911 0.6045
72 0.4531 0.9061 0.5469
73 0.4181 0.8363 0.5819
74 0.4653 0.9306 0.5347
75 0.4957 0.9913 0.5043
76 0.5414 0.9172 0.4586
77 0.5848 0.8303 0.4152
78 0.5466 0.9068 0.4534
79 0.5049 0.9902 0.4951
80 0.4896 0.9792 0.5104
81 0.4544 0.9088 0.5456
82 0.4223 0.8446 0.5777
83 0.3927 0.7853 0.6073
84 0.4204 0.8409 0.5796
85 0.38 0.7601 0.62
86 0.376 0.7519 0.624
87 0.3441 0.6883 0.6559
88 0.3099 0.6198 0.6901
89 0.2796 0.5592 0.7204
90 0.2497 0.4995 0.7503
91 0.4952 0.9904 0.5048
92 0.4565 0.913 0.5435
93 0.4237 0.8473 0.5763
94 0.3847 0.7695 0.6153
95 0.3445 0.689 0.6555
96 0.3362 0.6724 0.6638
97 0.2988 0.5976 0.7012
98 0.279 0.5579 0.721
99 0.2552 0.5104 0.7448
100 0.2222 0.4444 0.7778
101 0.4199 0.8398 0.5801
102 0.3943 0.7886 0.6057
103 0.3539 0.7077 0.6461
104 0.3287 0.6574 0.6713
105 0.3658 0.7317 0.6342
106 0.3856 0.7713 0.6144
107 0.4448 0.8896 0.5552
108 0.4022 0.8044 0.5978
109 0.3832 0.7663 0.6168
110 0.3429 0.6858 0.6571
111 0.6475 0.7049 0.3525
112 0.6731 0.6538 0.3269
113 0.7315 0.537 0.2685
114 0.6932 0.6136 0.3068
115 0.6674 0.6652 0.3326
116 0.6773 0.6455 0.3227
117 0.6359 0.7282 0.3641
118 0.592 0.8161 0.408
119 0.7653 0.4694 0.2347
120 0.7497 0.5006 0.2503
121 0.7129 0.5741 0.2871
122 0.6718 0.6565 0.3282
123 0.6999 0.6003 0.3001
124 0.6575 0.6851 0.3425
125 0.6204 0.7593 0.3796
126 0.6092 0.7815 0.3908
127 0.6008 0.7983 0.3992
128 0.5554 0.8892 0.4446
129 0.5537 0.8925 0.4463
130 0.5711 0.8577 0.4289
131 0.5388 0.9224 0.4612
132 0.4939 0.9878 0.5061
133 0.4862 0.9724 0.5138
134 0.4379 0.8758 0.5621
135 0.5088 0.9824 0.4912
136 0.4988 0.9977 0.5012
137 0.4498 0.8996 0.5502
138 0.4351 0.8703 0.5649
139 0.4111 0.8222 0.5889
140 0.5442 0.9115 0.4558
141 0.5281 0.9438 0.4719
142 0.4785 0.9571 0.5215
143 0.6441 0.7117 0.3559
144 0.6027 0.7947 0.3973
145 0.5696 0.8609 0.4304
146 0.5542 0.8916 0.4458
147 0.5552 0.8896 0.4448
148 0.5001 0.9999 0.4999
149 0.5281 0.9437 0.4719
150 0.6793 0.6414 0.3207
151 0.622 0.7561 0.378
152 0.5859 0.8282 0.4141
153 0.5307 0.9385 0.4693
154 0.6445 0.7109 0.3554
155 0.5873 0.8254 0.4127
156 0.5897 0.8205 0.4103
157 0.5227 0.9546 0.4773
158 0.4894 0.9787 0.5106
159 0.4164 0.8327 0.5836
160 0.4189 0.8379 0.5811
161 0.5956 0.8089 0.4044
162 0.6566 0.6869 0.3434
163 0.5888 0.8225 0.4112
164 0.6977 0.6047 0.3023
165 0.6191 0.7619 0.3809
166 0.7433 0.5134 0.2567
167 0.6552 0.6895 0.3448
168 0.5487 0.9026 0.4513
169 0.6521 0.6959 0.3479
170 0.5435 0.913 0.4565
171 0.3989 0.7978 0.6011
172 0.2984 0.5968 0.7016


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 level00OK


Ramsey RESET F-Test for powers (2 and 3) of fitted values
> reset_test_fitted
	RESET test
data:  mylm
RESET = 5.9439, df1 = 2, df2 = 173, p-value = 0.003187
Ramsey RESET F-Test for powers (2 and 3) of regressors
> reset_test_regressors
	RESET test
data:  mylm
RESET = 1.7204, df1 = 6, df2 = 169, p-value = 0.119
Ramsey RESET F-Test for powers (2 and 3) of principal components
> reset_test_principal_components
	RESET test
data:  mylm
RESET = 4.7754, df1 = 2, df2 = 173, p-value = 0.009578


Variance Inflation Factors (Multicollinearity)
> vif
   Relative_Advantage Perceived_Ease_of_Use        System_Quality 
             1.382208              1.415201              1.361465