Multiple Linear Regression - Estimated Regression Equation
Intention_to_Use[t] = + 1.51583 + 0.233562Perceived_Usefulness[t] + 0.239425Perceived_Ease_of_Use[t] + e[t]


Multiple Linear Regression - Ordinary Least Squares
VariableParameterS.D.T-STAT
H0: parameter = 0		2-tail p-value1-tail p-value
(Intercept)+1.516 0.6485+2.3370e+00 0.02054 0.01027
Perceived_Usefulness+0.2336 0.06943+3.3640e+00 0.0009422 0.0004711
Perceived_Ease_of_Use+0.2394 0.05539+4.3230e+00 2.575e-05 1.287e-05


Multiple Linear Regression - Regression Statistics
Multiple R 0.5635
R-squared 0.3175
Adjusted R-squared 0.3098
F-TEST (value) 40.94
F-TEST (DF numerator)2
F-TEST (DF denominator)176
p-value 2.442e-15
Multiple Linear Regression - Residual Statistics
Residual Standard Deviation 1.631
Sum Squared Residuals 468.2


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 6.246 3.754
2 8 7.209 0.7907
3 8 7.671 0.3295
4 9 8.138 0.8624
5 5 4.833 0.1674
6 10 9.101 0.8988
7 8 8.389-0.3888
8 9 8.862 0.1382
9 8 5.311 2.689
10 7 7.91-0.9099
11 10 7.682 2.318
12 10 6.491 3.509
13 9 7.431 1.569
14 4 5.545-1.545
15 4 7.203-3.203
16 8 7.676 0.3236
17 9 9.808-0.8078
18 10 6.006 3.994
19 8 7.192 0.8083
20 5 6.964-1.964
21 10 8.149 1.851
22 8 6.958 1.042
23 7 7.437-0.437
24 8 7.91 0.09006
25 8 9.568-1.568
26 9 8.149 0.8506
27 8 7.916 0.0842
28 6 6.97-0.9698
29 8 7.437 0.563
30 8 7.437 0.563
31 5 6.73-1.73
32 9 9.329-0.3289
33 8 7.91 0.09006
34 8 7.209 0.7907
35 8 7.91 0.09006
36 6 7.431-1.431
37 6 6.97-0.9698
38 9 7.209 1.791
39 8 7.437 0.563
40 9 8.868 0.1324
41 10 8.149 1.851
42 8 8.149-0.1494
43 8 7.192 0.8083
44 7 5.311 1.689
45 7 6.719 0.2813
46 10 7.431 2.569
47 8 6.97 1.03
48 7 6.719 0.2813
49 10 6.252 3.748
50 7 7.682-0.6822
51 7 6.006 0.9937
52 9 7.449 1.551
53 9 8.868 0.1324
54 8 7.198 0.8025
55 6 7.209-1.209
56 8 6.97 1.03
57 9 7.91 1.09
58 2 5.551-3.551
59 6 7.203-1.203
60 8 7.91 0.09006
61 8 8.155-0.1552
62 7 8.616-1.616
63 8 6.497 1.503
64 6 7.209-1.209
65 10 7.203 2.797
66 10 7.443 2.557
67 10 7.203 2.797
68 8 6.958 1.042
69 8 6.725 1.275
70 7 7.91-0.9099
71 10 8.856 1.144
72 5 6.964-1.964
73 3 4.581-1.581
74 2 5.06-3.06
75 3 5.545-2.545
76 4 7.676-3.676
77 2 5.072-3.072
78 6 5.773 0.2273
79 8 7.91 0.09006
80 8 7.671 0.3295
81 5 6.952-1.952
82 10 7.928 2.072
83 9 9.808-0.8078
84 8 9.808-1.808
85 9 8.383 0.6171
86 8 7.209 0.7907
87 5 7.671-2.671
88 7 6.73 0.2696
89 9 9.329-0.3289
90 8 7.437 0.563
91 4 6.958-2.958
92 7 5.072 1.928
93 8 9.335-1.335
94 7 7.198-0.1975
95 7 6.257 0.7426
96 9 7.203 1.797
97 6 5.288 0.712
98 7 6.97 0.03017
99 4 6.018-2.018
100 6 6.252-0.2516
101 10 7.203 2.797
102 9 6.958 2.042
103 10 9.335 0.6652
104 8 7.431 0.5689
105 4 6.97-2.97
106 8 8.622-0.6224
107 5 6.257-1.257
108 8 8.149-0.1494
109 9 8.377 0.6229
110 8 7.209 0.7907
111 4 7.443-3.443
112 8 8.149-0.1494
113 10 7.91 2.09
114 6 6.491-0.491
115 7 6.73 0.2696
116 10 7.671 2.329
117 9 9.089-0.08948
118 8 7.671 0.3295
119 3 7.437-4.437
120 8 6.736 1.264
121 7 7.676-0.6764
122 7 6.719 0.2813
123 8 6.485 1.515
124 8 8.149-0.1494
125 7 6.491 0.509
126 7 6.958 0.04189
127 9 9.568-0.5683
128 9 9.095-0.09534
129 9 6.748 2.252
130 4 7.449-3.449
131 6 6.73-0.7304
132 6 6.018-0.018
133 6 5.545 0.455
134 8 7.203 0.7966
135 3 6.269-3.269
136 8 6.97 1.03
137 8 7.449 0.5513
138 6 5.545 0.455
139 10 7.916 2.084
140 2 5.294-3.294
141 9 8.149 0.8506
142 6 7.209-1.209
143 6 7.922-1.922
144 5 6.719-1.719
145 4 5.784-1.784
146 7 6.713 0.2872
147 5 6.497-1.497
148 8 7.904 0.09592
149 6 7.198-1.198
150 9 7.198 1.802
151 6 7.192-1.192
152 4 6.479-2.479
153 7 7.91-0.9099
154 2 3.653-1.653
155 8 7.443 0.5572
156 9 8.143 0.8565
157 6 6.485-0.4851
158 5 6.269-1.269
159 7 7.437-0.437
160 8 8.149-0.1494
161 4 6.491-2.491
162 9 7.443 1.557
163 9 9.808-0.8078
164 9 6.491 2.509
165 7 5.072 1.928
166 5 6.73-1.73
167 7 8.611-1.611
168 9 9.568-0.5683
169 8 6.252 1.748
170 6 6.719-0.7187
171 9 7.688 1.312
172 8 7.676 0.3236
173 7 7.203-0.2034
174 7 7.209-0.2093
175 7 5.551 1.449
176 8 7.192 0.8083
177 10 8.143 1.857
178 6 8.149-2.149
179 6 8.149-2.149


Goldfeld-Quandt test for Heteroskedasticity
p-valuesAlternative Hypothesis
breakpoint indexgreater2-sidedless
6 0.5705 0.8591 0.4295
7 0.4558 0.9115 0.5442
8 0.314 0.628 0.686
9 0.3142 0.6285 0.6858
10 0.3365 0.673 0.6635
11 0.3641 0.7283 0.6359
12 0.4475 0.895 0.5525
13 0.3607 0.7213 0.6393
14 0.6271 0.7457 0.3729
15 0.8851 0.2298 0.1149
16 0.8423 0.3154 0.1577
17 0.8001 0.3998 0.1999
18 0.8447 0.3107 0.1553
19 0.8083 0.3835 0.1917
20 0.8709 0.2583 0.1291
21 0.8658 0.2684 0.1342
22 0.8295 0.341 0.1705
23 0.8019 0.3961 0.1981
24 0.7565 0.487 0.2435
25 0.7417 0.5167 0.2583
26 0.6983 0.6035 0.3017
27 0.6417 0.7167 0.3583
28 0.6149 0.7701 0.3851
29 0.557 0.8859 0.443
30 0.4986 0.9972 0.5014
31 0.5398 0.9205 0.4602
32 0.4848 0.9696 0.5152
33 0.4289 0.8577 0.5711
34 0.3927 0.7854 0.6073
35 0.3407 0.6813 0.6593
36 0.3841 0.7682 0.6159
37 0.3562 0.7124 0.6438
38 0.3727 0.7454 0.6273
39 0.3244 0.6488 0.6756
40 0.2846 0.5692 0.7154
41 0.295 0.59 0.705
42 0.2523 0.5046 0.7477
43 0.2155 0.4311 0.7844
44 0.1955 0.391 0.8045
45 0.1685 0.337 0.8315
46 0.1944 0.3888 0.8056
47 0.169 0.3381 0.831
48 0.146 0.292 0.854
49 0.2452 0.4904 0.7548
50 0.2162 0.4324 0.7838
51 0.1925 0.385 0.8075
52 0.1893 0.3787 0.8107
53 0.16 0.3201 0.84
54 0.1355 0.2711 0.8645
55 0.1329 0.2659 0.8671
56 0.1144 0.2289 0.8856
57 0.09971 0.1994 0.9003
58 0.2756 0.5512 0.7244
59 0.2694 0.5388 0.7306
60 0.2338 0.4676 0.7662
61 0.1999 0.3997 0.8001
62 0.2132 0.4265 0.7868
63 0.2033 0.4067 0.7967
64 0.1914 0.3827 0.8086
65 0.2511 0.5022 0.7489
66 0.3063 0.6125 0.6937
67 0.3778 0.7556 0.6222
68 0.3487 0.6974 0.6513
69 0.3265 0.6531 0.6735
70 0.3075 0.6149 0.6925
71 0.2887 0.5775 0.7113
72 0.3328 0.6656 0.6672
73 0.3979 0.7957 0.6021
74 0.5534 0.8933 0.4466
75 0.6268 0.7463 0.3732
76 0.7852 0.4295 0.2148
77 0.8571 0.2858 0.1429
78 0.8323 0.3353 0.1677
79 0.8046 0.3908 0.1954
80 0.7754 0.4491 0.2246
81 0.7936 0.4128 0.2064
82 0.8117 0.3766 0.1883
83 0.7906 0.4188 0.2094
84 0.7978 0.4044 0.2022
85 0.7712 0.4576 0.2288
86 0.7457 0.5087 0.2543
87 0.7994 0.4013 0.2006
88 0.769 0.462 0.231
89 0.7362 0.5276 0.2638
90 0.7048 0.5904 0.2952
91 0.7821 0.4358 0.2179
92 0.7944 0.4111 0.2056
93 0.7834 0.4333 0.2166
94 0.7508 0.4983 0.2492
95 0.7241 0.5519 0.2759
96 0.7333 0.5333 0.2667
97 0.7063 0.5874 0.2937
98 0.6688 0.6623 0.3312
99 0.6874 0.6251 0.3126
100 0.6492 0.7016 0.3508
101 0.7284 0.5433 0.2716
102 0.7545 0.4909 0.2455
103 0.7257 0.5486 0.2743
104 0.6951 0.6097 0.3049
105 0.7746 0.4509 0.2254
106 0.7445 0.511 0.2555
107 0.7276 0.5448 0.2724
108 0.6899 0.6201 0.3101
109 0.6583 0.6834 0.3417
110 0.6286 0.7428 0.3714
111 0.7574 0.4852 0.2426
112 0.7211 0.5577 0.2789
113 0.7517 0.4965 0.2483
114 0.7171 0.5658 0.2829
115 0.6801 0.6398 0.3199
116 0.7339 0.5322 0.2661
117 0.696 0.608 0.304
118 0.6601 0.6799 0.3399
119 0.8682 0.2636 0.1318
120 0.861 0.278 0.139
121 0.8369 0.3262 0.1631
122 0.8102 0.3797 0.1898
123 0.8176 0.3647 0.1824
124 0.7846 0.4308 0.2154
125 0.7564 0.4872 0.2436
126 0.72 0.5599 0.28
127 0.6816 0.6368 0.3184
128 0.6372 0.7256 0.3628
129 0.6859 0.6281 0.3141
130 0.8144 0.3711 0.1856
131 0.7837 0.4325 0.2163
132 0.747 0.5059 0.253
133 0.7168 0.5664 0.2832
134 0.6901 0.6199 0.3099
135 0.8162 0.3676 0.1838
136 0.7982 0.4035 0.2018
137 0.7634 0.4732 0.2366
138 0.7324 0.5352 0.2676
139 0.772 0.456 0.228
140 0.8538 0.2924 0.1462
141 0.8388 0.3225 0.1612
142 0.817 0.3661 0.183
143 0.8272 0.3457 0.1728
144 0.8201 0.3598 0.1799
145 0.8267 0.3465 0.1733
146 0.7949 0.4102 0.2051
147 0.7917 0.4165 0.2083
148 0.7511 0.4978 0.2489
149 0.72 0.5601 0.28
150 0.7549 0.4902 0.2451
151 0.7154 0.5691 0.2846
152 0.7669 0.4661 0.2331
153 0.7266 0.5468 0.2734
154 0.7996 0.4009 0.2004
155 0.7563 0.4873 0.2437
156 0.733 0.5339 0.267
157 0.6871 0.6258 0.3129
158 0.7177 0.5646 0.2823
159 0.6562 0.6877 0.3438
160 0.5848 0.8304 0.4152
161 0.7807 0.4386 0.2193
162 0.7669 0.4663 0.2331
163 0.7109 0.5781 0.2891
164 0.7538 0.4924 0.2462
165 0.6949 0.6101 0.3051
166 0.7747 0.4506 0.2253
167 0.7178 0.5644 0.2822
168 0.6447 0.7107 0.3553
169 0.5777 0.8446 0.4223
170 0.5293 0.9413 0.4707
171 0.6728 0.6543 0.3272
172 0.5715 0.857 0.4285
173 0.4042 0.8084 0.5958


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 = 2.3578, df1 = 2, df2 = 174, p-value = 0.09765
Ramsey RESET F-Test for powers (2 and 3) of regressors
> reset_test_regressors
	RESET test
data:  mylm
RESET = 1.4404, df1 = 4, df2 = 172, p-value = 0.2227
Ramsey RESET F-Test for powers (2 and 3) of principal components
> reset_test_principal_components
	RESET test
data:  mylm
RESET = 2.2902, df1 = 2, df2 = 174, p-value = 0.1043


Variance Inflation Factors (Multicollinearity)
> vif
 Perceived_Usefulness Perceived_Ease_of_Use 
             1.686359              1.686359