Multiple Linear Regression - Estimated Regression Equation |
Relative_Advantage[t] = -0.526351 + 0.0448908Perceived_Usefulness[t] + 0.0565836Perceived_Ease_of_Use[t] + 0.103454Information_Quality[t] + 0.013088System_Quality[t] + 0.754376groupB[t] -0.191254genderB[t] + 0.450691Intention_to_Use[t] + e[t] |
Multiple Linear Regression - Ordinary Least Squares | |||||
Variable | Parameter | S.D. | T-STAT H0: parameter = 0 | 2-tail p-value | 1-tail p-value |
(Intercept) | -0.5263 | 0.9205 | -5.7180e-01 | 0.5682 | 0.2841 |
Perceived_Usefulness | +0.04489 | 0.06973 | +6.4380e-01 | 0.5206 | 0.2603 |
Perceived_Ease_of_Use | +0.05658 | 0.0634 | +8.9250e-01 | 0.3734 | 0.1867 |
Information_Quality | +0.1035 | 0.06936 | +1.4910e+00 | 0.1377 | 0.06884 |
System_Quality | +0.01309 | 0.03472 | +3.7690e-01 | 0.7067 | 0.3533 |
groupB | +0.7544 | 0.2958 | +2.5500e+00 | 0.01164 | 0.005819 |
genderB | -0.1913 | 0.241 | -7.9350e-01 | 0.4286 | 0.2143 |
Intention_to_Use | +0.4507 | 0.08271 | +5.4490e+00 | 1.74e-07 | 8.701e-08 |
Multiple Linear Regression - Regression Statistics | |
Multiple R | 0.6841 |
R-squared | 0.468 |
Adjusted R-squared | 0.4462 |
F-TEST (value) | 21.49 |
F-TEST (DF numerator) | 7 |
F-TEST (DF denominator) | 171 |
p-value | 0 |
Multiple Linear Regression - Residual Statistics | |
Residual Standard Deviation | 1.549 |
Sum Squared Residuals | 410.3 |
Menu of Residual Diagnostics | |
Description | Link |
Histogram | Compute |
Central Tendency | Compute |
QQ Plot | Compute |
Kernel Density Plot | Compute |
Skewness/Kurtosis Test | Compute |
Skewness-Kurtosis Plot | Compute |
Harrell-Davis Plot | Compute |
Bootstrap Plot -- Central Tendency | Compute |
Blocked Bootstrap Plot -- Central Tendency | Compute |
(Partial) Autocorrelation Plot | Compute |
Spectral Analysis | Compute |
Tukey lambda PPCC Plot | Compute |
Box-Cox Normality Plot | Compute |
Summary Statistics | Compute |
Multiple Linear Regression - Actuals, Interpolation, and Residuals | |||
Time or Index | Actuals | Interpolation Forecast | Residuals Prediction Error |
1 | 10 | 8.393 | 1.607 |
2 | 8 | 7.59 | 0.4101 |
3 | 6 | 7.164 | -1.164 |
4 | 10 | 8.197 | 1.803 |
5 | 8 | 5.614 | 2.386 |
6 | 10 | 9.092 | 0.9078 |
7 | 7 | 7.787 | -0.7866 |
8 | 10 | 8.403 | 1.597 |
9 | 6 | 6.199 | -0.1994 |
10 | 7 | 7.35 | -0.3498 |
11 | 9 | 8.436 | 0.5644 |
12 | 6 | 7.957 | -1.957 |
13 | 7 | 7.688 | -0.6875 |
14 | 6 | 4.675 | 1.325 |
15 | 4 | 5.311 | -1.31 |
16 | 6 | 7.525 | -1.525 |
17 | 8 | 8.504 | -0.5037 |
18 | 9 | 7.525 | 1.475 |
19 | 8 | 7.398 | 0.6023 |
20 | 6 | 5.597 | 0.4027 |
21 | 6 | 8.464 | -2.464 |
22 | 10 | 7.456 | 2.544 |
23 | 8 | 6.862 | 1.138 |
24 | 8 | 7.57 | 0.43 |
25 | 7 | 8.023 | -1.023 |
26 | 4 | 7.776 | -3.776 |
27 | 9 | 7.527 | 1.473 |
28 | 8 | 6.062 | 1.938 |
29 | 10 | 7.183 | 2.817 |
30 | 8 | 6.831 | 1.169 |
31 | 6 | 5.255 | 0.745 |
32 | 7 | 8.402 | -1.402 |
33 | 8 | 7.425 | 0.5753 |
34 | 5 | 7.431 | -2.432 |
35 | 10 | 7.709 | 2.291 |
36 | 2 | 6.19 | -4.19 |
37 | 6 | 6.034 | -0.03354 |
38 | 7 | 7.769 | -0.7695 |
39 | 5 | 7.288 | -2.288 |
40 | 8 | 8.506 | -0.5063 |
41 | 7 | 8.502 | -1.502 |
42 | 7 | 6.83 | 0.1696 |
43 | 10 | 6.84 | 3.16 |
44 | 7 | 6.28 | 0.7197 |
45 | 6 | 6.512 | -0.5115 |
46 | 10 | 7.984 | 2.016 |
47 | 6 | 6.937 | -0.9375 |
48 | 5 | 6.252 | -1.252 |
49 | 8 | 7.774 | 0.2262 |
50 | 8 | 6.853 | 1.147 |
51 | 5 | 6.376 | -1.376 |
52 | 8 | 7.992 | 0.007623 |
53 | 10 | 8.737 | 1.263 |
54 | 7 | 7.124 | -0.1239 |
55 | 7 | 6.272 | 0.7279 |
56 | 7 | 7.544 | -0.5438 |
57 | 7 | 7.735 | -0.7352 |
58 | 2 | 3.223 | -1.223 |
59 | 4 | 6.208 | -2.208 |
60 | 6 | 7.557 | -1.557 |
61 | 7 | 7.04 | -0.03969 |
62 | 9 | 6.378 | 2.622 |
63 | 9 | 6.873 | 2.127 |
64 | 4 | 6.4 | -2.4 |
65 | 9 | 8.218 | 0.7823 |
66 | 9 | 8.534 | 0.4664 |
67 | 8 | 8.257 | -0.257 |
68 | 7 | 7.094 | -0.09352 |
69 | 9 | 7.207 | 1.793 |
70 | 7 | 7.093 | -0.09312 |
71 | 6 | 8.999 | -2.999 |
72 | 7 | 5.166 | 1.834 |
73 | 2 | 2.392 | -0.3921 |
74 | 3 | 2.598 | 0.402 |
75 | 4 | 3.187 | 0.8134 |
76 | 5 | 4.63 | 0.3698 |
77 | 2 | 2.748 | -0.7485 |
78 | 6 | 5.1 | 0.9003 |
79 | 8 | 7.852 | 0.1484 |
80 | 5 | 7.705 | -2.705 |
81 | 4 | 5.169 | -1.169 |
82 | 10 | 8.7 | 1.3 |
83 | 10 | 8.736 | 1.264 |
84 | 10 | 8.298 | 1.702 |
85 | 9 | 8.239 | 0.7613 |
86 | 5 | 6.982 | -1.982 |
87 | 5 | 5.588 | -0.5879 |
88 | 7 | 6.651 | 0.3485 |
89 | 10 | 8.545 | 1.455 |
90 | 9 | 7.66 | 1.34 |
91 | 8 | 5.333 | 2.667 |
92 | 8 | 5.591 | 2.409 |
93 | 8 | 7.563 | 0.4373 |
94 | 8 | 6.57 | 1.43 |
95 | 8 | 6.485 | 1.515 |
96 | 7 | 7.872 | -0.8717 |
97 | 6 | 5.552 | 0.4477 |
98 | 8 | 6.692 | 1.308 |
99 | 2 | 4.983 | -2.983 |
100 | 5 | 5.868 | -0.8676 |
101 | 4 | 8.426 | -4.426 |
102 | 9 | 7.703 | 1.297 |
103 | 10 | 9.137 | 0.8629 |
104 | 6 | 7.661 | -1.661 |
105 | 4 | 4.74 | -0.7405 |
106 | 10 | 7.884 | 2.116 |
107 | 6 | 5.983 | 0.01742 |
108 | 7 | 6.652 | 0.3478 |
109 | 7 | 7.279 | -0.2788 |
110 | 8 | 7.264 | 0.7361 |
111 | 6 | 5.846 | 0.1537 |
112 | 5 | 7.61 | -2.61 |
113 | 6 | 8.938 | -2.938 |
114 | 7 | 5.584 | 1.416 |
115 | 6 | 6.441 | -0.4407 |
116 | 9 | 8.221 | 0.779 |
117 | 9 | 8.178 | 0.8218 |
118 | 7 | 7.773 | -0.7727 |
119 | 6 | 4.418 | 1.582 |
120 | 7 | 7.033 | -0.03275 |
121 | 7 | 7.11 | -0.1099 |
122 | 8 | 6.767 | 1.233 |
123 | 7 | 7.134 | -0.1335 |
124 | 8 | 7.497 | 0.5031 |
125 | 7 | 7.149 | -0.1488 |
126 | 4 | 6.008 | -2.008 |
127 | 10 | 8.871 | 1.129 |
128 | 8 | 7.849 | 0.1507 |
129 | 8 | 7.623 | 0.3766 |
130 | 2 | 4.662 | -2.662 |
131 | 6 | 6.482 | -0.4824 |
132 | 4 | 5.693 | -1.693 |
133 | 4 | 4.86 | -0.8596 |
134 | 9 | 7.382 | 1.618 |
135 | 2 | 4.012 | -2.012 |
136 | 6 | 6.66 | -0.6598 |
137 | 7 | 6.363 | 0.637 |
138 | 4 | 4.681 | -0.6814 |
139 | 10 | 8.714 | 1.286 |
140 | 3 | 3.249 | -0.2492 |
141 | 7 | 7.116 | -0.116 |
142 | 4 | 5.3 | -1.3 |
143 | 8 | 6.272 | 1.728 |
144 | 4 | 4.8 | -0.7996 |
145 | 5 | 3.989 | 1.011 |
146 | 6 | 6.561 | -0.5615 |
147 | 5 | 5.015 | -0.015 |
148 | 9 | 6.7 | 2.3 |
149 | 6 | 5.883 | 0.1168 |
150 | 8 | 6.836 | 1.164 |
151 | 4 | 6.224 | -2.224 |
152 | 4 | 3.96 | 0.04039 |
153 | 8 | 6.427 | 1.573 |
154 | 4 | 2.162 | 1.838 |
155 | 10 | 7.299 | 2.701 |
156 | 8 | 7.846 | 0.1544 |
157 | 5 | 6.078 | -1.078 |
158 | 3 | 5.007 | -2.007 |
159 | 7 | 6.004 | 0.9958 |
160 | 6 | 7.522 | -1.522 |
161 | 5 | 5.175 | -0.1748 |
162 | 5 | 6.93 | -1.93 |
163 | 9 | 8.552 | 0.4478 |
164 | 2 | 6.885 | -4.885 |
165 | 7 | 5.43 | 1.57 |
166 | 7 | 5.594 | 1.406 |
167 | 5 | 6.794 | -1.794 |
168 | 9 | 8.887 | 0.1129 |
169 | 4 | 6.808 | -2.808 |
170 | 5 | 4.814 | 0.1859 |
171 | 9 | 7.335 | 1.665 |
172 | 7 | 7.085 | -0.08511 |
173 | 6 | 6.715 | -0.7149 |
174 | 8 | 6.8 | 1.2 |
175 | 7 | 5.919 | 1.081 |
176 | 6 | 7.372 | -1.371 |
177 | 8 | 8.853 | -0.8528 |
178 | 6 | 6.175 | -0.1752 |
179 | 7 | 6.097 | 0.9034 |
Goldfeld-Quandt test for Heteroskedasticity | |||
p-values | Alternative Hypothesis | ||
breakpoint index | greater | 2-sided | less |
11 | 0.5511 | 0.8979 | 0.4489 |
12 | 0.6382 | 0.7237 | 0.3618 |
13 | 0.5154 | 0.9692 | 0.4846 |
14 | 0.47 | 0.9399 | 0.53 |
15 | 0.3919 | 0.7838 | 0.6081 |
16 | 0.3604 | 0.7209 | 0.6395 |
17 | 0.2951 | 0.5902 | 0.7049 |
18 | 0.3824 | 0.7649 | 0.6176 |
19 | 0.2982 | 0.5963 | 0.7018 |
20 | 0.223 | 0.4461 | 0.777 |
21 | 0.2545 | 0.5089 | 0.7455 |
22 | 0.2617 | 0.5233 | 0.7383 |
23 | 0.2114 | 0.4227 | 0.7886 |
24 | 0.1595 | 0.319 | 0.8405 |
25 | 0.1205 | 0.2409 | 0.8795 |
26 | 0.338 | 0.6759 | 0.662 |
27 | 0.3792 | 0.7584 | 0.6208 |
28 | 0.415 | 0.8301 | 0.585 |
29 | 0.5125 | 0.975 | 0.4875 |
30 | 0.5076 | 0.9848 | 0.4924 |
31 | 0.4456 | 0.8913 | 0.5544 |
32 | 0.4566 | 0.9133 | 0.5434 |
33 | 0.4041 | 0.8082 | 0.5959 |
34 | 0.5626 | 0.8749 | 0.4374 |
35 | 0.5737 | 0.8525 | 0.4263 |
36 | 0.8735 | 0.2529 | 0.1265 |
37 | 0.8418 | 0.3165 | 0.1582 |
38 | 0.8135 | 0.373 | 0.1865 |
39 | 0.8393 | 0.3213 | 0.1607 |
40 | 0.8065 | 0.387 | 0.1935 |
41 | 0.8027 | 0.3945 | 0.1973 |
42 | 0.7641 | 0.4717 | 0.2359 |
43 | 0.8315 | 0.337 | 0.1685 |
44 | 0.8148 | 0.3704 | 0.1852 |
45 | 0.797 | 0.406 | 0.203 |
46 | 0.8451 | 0.3098 | 0.1549 |
47 | 0.8305 | 0.339 | 0.1695 |
48 | 0.8329 | 0.3343 | 0.1671 |
49 | 0.801 | 0.398 | 0.199 |
50 | 0.8037 | 0.3926 | 0.1963 |
51 | 0.8386 | 0.3227 | 0.1614 |
52 | 0.8094 | 0.3812 | 0.1906 |
53 | 0.7995 | 0.401 | 0.2005 |
54 | 0.7641 | 0.4718 | 0.2359 |
55 | 0.7358 | 0.5285 | 0.2642 |
56 | 0.7137 | 0.5725 | 0.2863 |
57 | 0.6783 | 0.6434 | 0.3217 |
58 | 0.6762 | 0.6476 | 0.3238 |
59 | 0.7127 | 0.5746 | 0.2873 |
60 | 0.7132 | 0.5735 | 0.2868 |
61 | 0.6724 | 0.6552 | 0.3276 |
62 | 0.7332 | 0.5337 | 0.2668 |
63 | 0.7663 | 0.4673 | 0.2337 |
64 | 0.8089 | 0.3823 | 0.1911 |
65 | 0.7827 | 0.4345 | 0.2173 |
66 | 0.7512 | 0.4975 | 0.2488 |
67 | 0.7178 | 0.5644 | 0.2822 |
68 | 0.6795 | 0.641 | 0.3205 |
69 | 0.6882 | 0.6236 | 0.3118 |
70 | 0.6468 | 0.7063 | 0.3532 |
71 | 0.7562 | 0.4875 | 0.2438 |
72 | 0.7546 | 0.4908 | 0.2454 |
73 | 0.7253 | 0.5493 | 0.2747 |
74 | 0.689 | 0.6221 | 0.311 |
75 | 0.6569 | 0.6861 | 0.3431 |
76 | 0.6156 | 0.7689 | 0.3844 |
77 | 0.5895 | 0.821 | 0.4105 |
78 | 0.5721 | 0.8558 | 0.4279 |
79 | 0.5304 | 0.9392 | 0.4696 |
80 | 0.6294 | 0.7413 | 0.3706 |
81 | 0.6238 | 0.7524 | 0.3762 |
82 | 0.6095 | 0.781 | 0.3905 |
83 | 0.6003 | 0.7994 | 0.3997 |
84 | 0.6137 | 0.7727 | 0.3863 |
85 | 0.5814 | 0.8372 | 0.4186 |
86 | 0.6085 | 0.783 | 0.3915 |
87 | 0.5747 | 0.8506 | 0.4253 |
88 | 0.5333 | 0.9334 | 0.4667 |
89 | 0.5281 | 0.9439 | 0.4719 |
90 | 0.5198 | 0.9605 | 0.4802 |
91 | 0.6061 | 0.7878 | 0.3939 |
92 | 0.6713 | 0.6574 | 0.3287 |
93 | 0.6452 | 0.7095 | 0.3548 |
94 | 0.6382 | 0.7236 | 0.3618 |
95 | 0.6579 | 0.6842 | 0.3421 |
96 | 0.6293 | 0.7413 | 0.3707 |
97 | 0.6023 | 0.7954 | 0.3977 |
98 | 0.5876 | 0.8248 | 0.4124 |
99 | 0.7049 | 0.5903 | 0.2951 |
100 | 0.6754 | 0.6493 | 0.3246 |
101 | 0.8981 | 0.2038 | 0.1019 |
102 | 0.9039 | 0.1921 | 0.09605 |
103 | 0.8922 | 0.2156 | 0.1078 |
104 | 0.8931 | 0.2137 | 0.1069 |
105 | 0.879 | 0.242 | 0.121 |
106 | 0.9011 | 0.1978 | 0.09889 |
107 | 0.8796 | 0.2408 | 0.1204 |
108 | 0.8553 | 0.2894 | 0.1447 |
109 | 0.829 | 0.3419 | 0.171 |
110 | 0.8039 | 0.3922 | 0.1961 |
111 | 0.7715 | 0.4571 | 0.2285 |
112 | 0.8297 | 0.3407 | 0.1703 |
113 | 0.8741 | 0.2519 | 0.1259 |
114 | 0.8653 | 0.2694 | 0.1347 |
115 | 0.8415 | 0.3171 | 0.1585 |
116 | 0.8227 | 0.3546 | 0.1773 |
117 | 0.8001 | 0.3999 | 0.1999 |
118 | 0.769 | 0.4619 | 0.231 |
119 | 0.7801 | 0.4398 | 0.2199 |
120 | 0.7437 | 0.5126 | 0.2563 |
121 | 0.7032 | 0.5937 | 0.2968 |
122 | 0.7077 | 0.5846 | 0.2923 |
123 | 0.6735 | 0.653 | 0.3265 |
124 | 0.6398 | 0.7204 | 0.3602 |
125 | 0.5938 | 0.8125 | 0.4062 |
126 | 0.5979 | 0.8041 | 0.4021 |
127 | 0.5647 | 0.8706 | 0.4353 |
128 | 0.5185 | 0.963 | 0.4815 |
129 | 0.4694 | 0.9388 | 0.5306 |
130 | 0.5808 | 0.8383 | 0.4192 |
131 | 0.5313 | 0.9373 | 0.4687 |
132 | 0.5251 | 0.9498 | 0.4749 |
133 | 0.485 | 0.9701 | 0.515 |
134 | 0.4974 | 0.9947 | 0.5026 |
135 | 0.5997 | 0.8007 | 0.4003 |
136 | 0.5547 | 0.8907 | 0.4453 |
137 | 0.5173 | 0.9654 | 0.4827 |
138 | 0.4693 | 0.9385 | 0.5307 |
139 | 0.459 | 0.9181 | 0.541 |
140 | 0.4039 | 0.8078 | 0.5961 |
141 | 0.3538 | 0.7076 | 0.6462 |
142 | 0.4251 | 0.8501 | 0.5749 |
143 | 0.39 | 0.78 | 0.61 |
144 | 0.3386 | 0.6771 | 0.6614 |
145 | 0.2916 | 0.5832 | 0.7084 |
146 | 0.2598 | 0.5195 | 0.7402 |
147 | 0.2137 | 0.4274 | 0.7863 |
148 | 0.3014 | 0.6028 | 0.6986 |
149 | 0.2484 | 0.4969 | 0.7516 |
150 | 0.3138 | 0.6276 | 0.6862 |
151 | 0.332 | 0.664 | 0.668 |
152 | 0.2756 | 0.5512 | 0.7244 |
153 | 0.2742 | 0.5485 | 0.7258 |
154 | 0.2563 | 0.5125 | 0.7437 |
155 | 0.3525 | 0.7049 | 0.6475 |
156 | 0.3207 | 0.6414 | 0.6793 |
157 | 0.2644 | 0.5289 | 0.7356 |
158 | 0.3956 | 0.7911 | 0.6044 |
159 | 0.3961 | 0.7922 | 0.6039 |
160 | 0.361 | 0.7221 | 0.639 |
161 | 0.3873 | 0.7745 | 0.6127 |
162 | 0.3598 | 0.7197 | 0.6402 |
163 | 0.2715 | 0.543 | 0.7285 |
164 | 0.8543 | 0.2914 | 0.1457 |
165 | 0.8741 | 0.2518 | 0.1259 |
166 | 0.8041 | 0.3917 | 0.1959 |
167 | 0.7739 | 0.4522 | 0.2261 |
168 | 0.6877 | 0.6246 | 0.3123 |
Meta Analysis of Goldfeld-Quandt test for Heteroskedasticity | |||
Description | # significant tests | % significant tests | OK/NOK |
1% type I error level | 0 | 0 | OK |
5% type I error level | 0 | 0 | OK |
10% type I error level | 0 | 0 | OK |
Ramsey RESET F-Test for powers (2 and 3) of fitted values |
> reset_test_fitted RESET test data: mylm RESET = 0.21432, df1 = 2, df2 = 169, p-value = 0.8073 |
Ramsey RESET F-Test for powers (2 and 3) of regressors |
> reset_test_regressors RESET test data: mylm RESET = 0.69758, df1 = 14, df2 = 157, p-value = 0.7744 |
Ramsey RESET F-Test for powers (2 and 3) of principal components |
> reset_test_principal_components RESET test data: mylm RESET = 0.25171, df1 = 2, df2 = 169, p-value = 0.7778 |
Variance Inflation Factors (Multicollinearity) |
> vif Perceived_Usefulness Perceived_Ease_of_Use Information_Quality 1.885988 2.449611 2.690085 System_Quality groupB genderB 1.889502 1.297714 1.083213 Intention_to_Use 1.955887 |