Multiple Linear Regression - Estimated Regression Equation |
Intention_to_Use[t] = -1.00044 + 0.327676Relative_Advantage[t] + 0.091582Perceived_Usefulness[t] + 0.103389Perceived_Ease_of_Use[t] + 0.0009767Information_Quality[t] + 0.0879803System_Quality[t] + 0.880305groupB[t] + 0.186814genderB[t] -0.000306779t + 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) | -1 | 0.8083 | -1.2380e+00 | 0.2175 | 0.1088 |
Relative_Advantage | +0.3277 | 0.06057 | +5.4100e+00 | 2.116e-07 | 1.058e-07 |
Perceived_Usefulness | +0.09158 | 0.05934 | +1.5430e+00 | 0.1246 | 0.06232 |
Perceived_Ease_of_Use | +0.1034 | 0.05381 | +1.9210e+00 | 0.05637 | 0.02819 |
Information_Quality | +0.0009767 | 0.05976 | +1.6340e-02 | 0.987 | 0.4935 |
System_Quality | +0.08798 | 0.02908 | +3.0250e+00 | 0.00287 | 0.001435 |
groupB | +0.8803 | 0.2687 | +3.2760e+00 | 0.001276 | 0.0006382 |
genderB | +0.1868 | 0.2064 | +9.0520e-01 | 0.3666 | 0.1833 |
t | -0.0003068 | 0.002125 | -1.4440e-01 | 0.8854 | 0.4427 |
Multiple Linear Regression - Regression Statistics | |
Multiple R | 0.7513 |
R-squared | 0.5644 |
Adjusted R-squared | 0.5439 |
F-TEST (value) | 27.54 |
F-TEST (DF numerator) | 8 |
F-TEST (DF denominator) | 170 |
p-value | 0 |
Multiple Linear Regression - Residual Statistics | |
Residual Standard Deviation | 1.326 |
Sum Squared Residuals | 298.8 |
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 | 8.294 | 1.706 |
2 | 8 | 7.899 | 0.1006 |
3 | 8 | 7.498 | 0.5018 |
4 | 9 | 9.524 | -0.5235 |
5 | 5 | 6.886 | -1.886 |
6 | 10 | 9.95 | 0.04975 |
7 | 8 | 8.403 | -0.4027 |
8 | 9 | 9.317 | -0.3174 |
9 | 8 | 6.077 | 1.923 |
10 | 7 | 8.271 | -1.271 |
11 | 10 | 8.668 | 1.332 |
12 | 10 | 7.178 | 2.822 |
13 | 9 | 7.896 | 1.104 |
14 | 4 | 6.345 | -2.345 |
15 | 4 | 6.92 | -2.92 |
16 | 8 | 7.773 | 0.2271 |
17 | 9 | 9.751 | -0.7511 |
18 | 10 | 8.039 | 1.962 |
19 | 8 | 8.108 | -0.1079 |
20 | 5 | 6.666 | -1.666 |
21 | 10 | 8.229 | 1.771 |
22 | 8 | 8.672 | -0.6718 |
23 | 7 | 7.97 | -0.9698 |
24 | 8 | 8.517 | -0.5174 |
25 | 8 | 9.494 | -1.494 |
26 | 9 | 6.591 | 2.409 |
27 | 8 | 8.403 | -0.4032 |
28 | 6 | 7.431 | -1.431 |
29 | 8 | 8.446 | -0.4464 |
30 | 8 | 7.423 | 0.5769 |
31 | 5 | 6.762 | -1.762 |
32 | 9 | 8.597 | 0.4028 |
33 | 8 | 8.149 | -0.1489 |
34 | 8 | 6.453 | 1.547 |
35 | 8 | 8.631 | -0.6306 |
36 | 6 | 5.885 | 0.1148 |
37 | 6 | 6.496 | -0.4964 |
38 | 9 | 7.822 | 1.178 |
39 | 8 | 7.509 | 0.4912 |
40 | 9 | 9.28 | -0.2799 |
41 | 10 | 8.112 | 1.888 |
42 | 8 | 7.043 | 0.9575 |
43 | 8 | 7.784 | 0.2158 |
44 | 7 | 7.189 | -0.1894 |
45 | 7 | 7.172 | -0.1715 |
46 | 10 | 9.219 | 0.7808 |
47 | 8 | 6.594 | 1.406 |
48 | 7 | 6.489 | 0.5109 |
49 | 10 | 7.643 | 2.357 |
50 | 7 | 8.252 | -1.252 |
51 | 7 | 5.916 | 1.084 |
52 | 9 | 8.589 | 0.4114 |
53 | 9 | 10.01 | -1.008 |
54 | 8 | 7.252 | 0.7485 |
55 | 6 | 7.451 | -1.451 |
56 | 8 | 7.439 | 0.561 |
57 | 9 | 7.65 | 1.35 |
58 | 2 | 3.363 | -1.363 |
59 | 6 | 6.103 | -0.1028 |
60 | 8 | 7.763 | 0.237 |
61 | 8 | 7.766 | 0.2339 |
62 | 7 | 7.259 | -0.259 |
63 | 8 | 7.54 | 0.4596 |
64 | 6 | 5.939 | 0.06094 |
65 | 10 | 7.741 | 2.259 |
66 | 10 | 8.198 | 1.802 |
67 | 10 | 7.677 | 2.323 |
68 | 8 | 7.32 | 0.6802 |
69 | 8 | 8.337 | -0.3369 |
70 | 7 | 8 | -0.9996 |
71 | 10 | 9.031 | 0.9687 |
72 | 5 | 6.188 | -1.188 |
73 | 3 | 3.012 | -0.01231 |
74 | 2 | 3.727 | -1.727 |
75 | 3 | 4.361 | -1.361 |
76 | 4 | 5.665 | -1.665 |
77 | 2 | 3.498 | -1.498 |
78 | 6 | 5.088 | 0.9125 |
79 | 8 | 8.227 | -0.2267 |
80 | 8 | 7.227 | 0.773 |
81 | 5 | 5.355 | -0.3546 |
82 | 10 | 9.104 | 0.8957 |
83 | 9 | 9.861 | -0.8613 |
84 | 8 | 9.949 | -1.949 |
85 | 9 | 9.11 | -0.1103 |
86 | 8 | 6.973 | 1.027 |
87 | 5 | 6.251 | -1.251 |
88 | 7 | 7.599 | -0.5986 |
89 | 9 | 9.828 | -0.8276 |
90 | 8 | 8.443 | -0.443 |
91 | 4 | 8.005 | -4.005 |
92 | 7 | 6.703 | 0.297 |
93 | 8 | 9.002 | -1.002 |
94 | 7 | 7.566 | -0.5659 |
95 | 7 | 7.289 | -0.2893 |
96 | 9 | 7.78 | 1.22 |
97 | 6 | 6.721 | -0.7211 |
98 | 7 | 7.838 | -0.8378 |
99 | 4 | 5.205 | -1.205 |
100 | 6 | 6.643 | -0.6429 |
101 | 10 | 6.797 | 3.203 |
102 | 9 | 8.418 | 0.5816 |
103 | 10 | 10.01 | -0.01207 |
104 | 8 | 7.532 | 0.4681 |
105 | 4 | 5.295 | -1.295 |
106 | 8 | 9.799 | -1.799 |
107 | 5 | 7.148 | -2.148 |
108 | 8 | 7.297 | 0.7029 |
109 | 9 | 7.641 | 1.359 |
110 | 8 | 7.675 | 0.3254 |
111 | 4 | 8.093 | -4.093 |
112 | 8 | 6.719 | 1.281 |
113 | 10 | 8.191 | 1.809 |
114 | 6 | 6.415 | -0.4148 |
115 | 7 | 6.457 | 0.543 |
116 | 10 | 8.799 | 1.201 |
117 | 9 | 9.385 | -0.385 |
118 | 8 | 8.411 | -0.4113 |
119 | 3 | 5.69 | -2.69 |
120 | 8 | 6.972 | 1.028 |
121 | 7 | 7.529 | -0.5286 |
122 | 7 | 7.354 | -0.3535 |
123 | 8 | 6.67 | 1.33 |
124 | 8 | 8.413 | -0.4131 |
125 | 7 | 7.652 | -0.6519 |
126 | 7 | 5.628 | 1.372 |
127 | 9 | 10.26 | -1.26 |
128 | 9 | 8.189 | 0.8106 |
129 | 9 | 7.409 | 1.591 |
130 | 4 | 5.025 | -1.025 |
131 | 6 | 6.984 | -0.9839 |
132 | 6 | 6.037 | -0.03684 |
133 | 6 | 4.334 | 1.666 |
134 | 8 | 8.16 | -0.16 |
135 | 3 | 4.09 | -1.09 |
136 | 8 | 6.029 | 1.97 |
137 | 8 | 7.363 | 0.6366 |
138 | 6 | 4.607 | 1.393 |
139 | 10 | 9.226 | 0.7736 |
140 | 2 | 4.319 | -2.319 |
141 | 9 | 7.375 | 1.625 |
142 | 6 | 5.572 | 0.4284 |
143 | 6 | 7.702 | -1.702 |
144 | 5 | 4.45 | 0.5501 |
145 | 4 | 4.585 | -0.585 |
146 | 7 | 6.765 | 0.235 |
147 | 5 | 5.69 | -0.6903 |
148 | 8 | 7.914 | 0.08609 |
149 | 6 | 6.721 | -0.7212 |
150 | 9 | 6.858 | 2.142 |
151 | 6 | 6.315 | -0.3149 |
152 | 4 | 4.969 | -0.9689 |
153 | 7 | 7.234 | -0.2337 |
154 | 2 | 3.819 | -1.819 |
155 | 8 | 9.123 | -1.123 |
156 | 9 | 8.479 | 0.5215 |
157 | 6 | 6.354 | -0.3542 |
158 | 5 | 4.425 | 0.5751 |
159 | 7 | 6.719 | 0.2809 |
160 | 8 | 7.22 | 0.7802 |
161 | 4 | 6.277 | -2.277 |
162 | 9 | 6.163 | 2.837 |
163 | 9 | 9.582 | -0.5823 |
164 | 9 | 5.218 | 3.782 |
165 | 7 | 5.905 | 1.095 |
166 | 5 | 7.222 | -2.222 |
167 | 7 | 6.699 | 0.3009 |
168 | 9 | 10.11 | -1.109 |
169 | 8 | 6.558 | 1.442 |
170 | 6 | 5.393 | 0.6066 |
171 | 9 | 7.765 | 1.235 |
172 | 8 | 7.873 | 0.1272 |
173 | 7 | 7.879 | -0.8787 |
174 | 7 | 7.567 | -0.567 |
175 | 7 | 6.551 | 0.4489 |
176 | 8 | 7.228 | 0.7715 |
177 | 10 | 8.741 | 1.259 |
178 | 6 | 6.939 | -0.939 |
179 | 6 | 6.739 | -0.7385 |
Goldfeld-Quandt test for Heteroskedasticity | |||
p-values | Alternative Hypothesis | ||
breakpoint index | greater | 2-sided | less |
12 | 0.926 | 0.148 | 0.07398 |
13 | 0.9 | 0.1999 | 0.09996 |
14 | 0.9809 | 0.03812 | 0.01906 |
15 | 0.9797 | 0.04057 | 0.02028 |
16 | 0.9841 | 0.03186 | 0.01593 |
17 | 0.9742 | 0.05156 | 0.02578 |
18 | 0.9717 | 0.05662 | 0.02831 |
19 | 0.9545 | 0.09099 | 0.04549 |
20 | 0.9413 | 0.1173 | 0.05866 |
21 | 0.9663 | 0.06736 | 0.03368 |
22 | 0.9535 | 0.09292 | 0.04646 |
23 | 0.9334 | 0.1333 | 0.06663 |
24 | 0.9066 | 0.1869 | 0.09344 |
25 | 0.9005 | 0.199 | 0.09952 |
26 | 0.9746 | 0.05079 | 0.02539 |
27 | 0.9635 | 0.07295 | 0.03648 |
28 | 0.9543 | 0.09132 | 0.04566 |
29 | 0.9371 | 0.1259 | 0.06293 |
30 | 0.9157 | 0.1687 | 0.08434 |
31 | 0.8985 | 0.203 | 0.1015 |
32 | 0.8824 | 0.2351 | 0.1176 |
33 | 0.8494 | 0.3013 | 0.1506 |
34 | 0.8848 | 0.2303 | 0.1152 |
35 | 0.8584 | 0.2832 | 0.1416 |
36 | 0.8249 | 0.3502 | 0.1751 |
37 | 0.7891 | 0.4218 | 0.2109 |
38 | 0.8092 | 0.3817 | 0.1908 |
39 | 0.7738 | 0.4524 | 0.2262 |
40 | 0.7301 | 0.5398 | 0.2699 |
41 | 0.7693 | 0.4613 | 0.2307 |
42 | 0.7804 | 0.4393 | 0.2196 |
43 | 0.7399 | 0.5203 | 0.2601 |
44 | 0.6961 | 0.6078 | 0.3039 |
45 | 0.6492 | 0.7017 | 0.3508 |
46 | 0.6126 | 0.7748 | 0.3874 |
47 | 0.6068 | 0.7863 | 0.3932 |
48 | 0.5592 | 0.8816 | 0.4408 |
49 | 0.6309 | 0.7382 | 0.3691 |
50 | 0.6368 | 0.7264 | 0.3632 |
51 | 0.6028 | 0.7943 | 0.3972 |
52 | 0.5573 | 0.8855 | 0.4427 |
53 | 0.5308 | 0.9383 | 0.4692 |
54 | 0.4901 | 0.9801 | 0.5099 |
55 | 0.5056 | 0.9888 | 0.4944 |
56 | 0.4632 | 0.9265 | 0.5368 |
57 | 0.4483 | 0.8967 | 0.5517 |
58 | 0.4382 | 0.8764 | 0.5618 |
59 | 0.3962 | 0.7924 | 0.6038 |
60 | 0.3521 | 0.7043 | 0.6479 |
61 | 0.3229 | 0.6458 | 0.6771 |
62 | 0.2815 | 0.5629 | 0.7185 |
63 | 0.2462 | 0.4924 | 0.7538 |
64 | 0.2106 | 0.4211 | 0.7894 |
65 | 0.2654 | 0.5308 | 0.7346 |
66 | 0.2876 | 0.5753 | 0.7124 |
67 | 0.3553 | 0.7107 | 0.6447 |
68 | 0.3308 | 0.6615 | 0.6692 |
69 | 0.3114 | 0.6228 | 0.6886 |
70 | 0.3134 | 0.6268 | 0.6866 |
71 | 0.2912 | 0.5824 | 0.7088 |
72 | 0.2722 | 0.5443 | 0.7278 |
73 | 0.2383 | 0.4767 | 0.7617 |
74 | 0.2436 | 0.4872 | 0.7564 |
75 | 0.2238 | 0.4475 | 0.7762 |
76 | 0.221 | 0.442 | 0.779 |
77 | 0.2089 | 0.4178 | 0.7911 |
78 | 0.205 | 0.41 | 0.795 |
79 | 0.1862 | 0.3724 | 0.8138 |
80 | 0.1673 | 0.3346 | 0.8327 |
81 | 0.1405 | 0.2811 | 0.8595 |
82 | 0.1283 | 0.2567 | 0.8717 |
83 | 0.1226 | 0.2451 | 0.8774 |
84 | 0.1576 | 0.3151 | 0.8424 |
85 | 0.1334 | 0.2668 | 0.8666 |
86 | 0.1247 | 0.2494 | 0.8753 |
87 | 0.1306 | 0.2612 | 0.8694 |
88 | 0.1141 | 0.2281 | 0.8859 |
89 | 0.101 | 0.2019 | 0.899 |
90 | 0.08649 | 0.173 | 0.9135 |
91 | 0.3159 | 0.6317 | 0.6841 |
92 | 0.2812 | 0.5623 | 0.7188 |
93 | 0.2599 | 0.5197 | 0.7401 |
94 | 0.2299 | 0.4599 | 0.7701 |
95 | 0.1981 | 0.3963 | 0.8019 |
96 | 0.2022 | 0.4044 | 0.7978 |
97 | 0.1784 | 0.3567 | 0.8216 |
98 | 0.1577 | 0.3153 | 0.8423 |
99 | 0.1492 | 0.2984 | 0.8508 |
100 | 0.1288 | 0.2577 | 0.8712 |
101 | 0.3109 | 0.6219 | 0.6891 |
102 | 0.282 | 0.564 | 0.718 |
103 | 0.2458 | 0.4915 | 0.7542 |
104 | 0.224 | 0.4479 | 0.776 |
105 | 0.2073 | 0.4147 | 0.7927 |
106 | 0.2258 | 0.4517 | 0.7742 |
107 | 0.2631 | 0.5261 | 0.7369 |
108 | 0.2562 | 0.5125 | 0.7438 |
109 | 0.2723 | 0.5445 | 0.7277 |
110 | 0.2417 | 0.4835 | 0.7583 |
111 | 0.6048 | 0.7905 | 0.3952 |
112 | 0.6124 | 0.7752 | 0.3876 |
113 | 0.6411 | 0.7179 | 0.3589 |
114 | 0.5978 | 0.8044 | 0.4022 |
115 | 0.5707 | 0.8585 | 0.4293 |
116 | 0.5635 | 0.8731 | 0.4365 |
117 | 0.5191 | 0.9618 | 0.4809 |
118 | 0.4808 | 0.9615 | 0.5192 |
119 | 0.6209 | 0.7582 | 0.3791 |
120 | 0.6232 | 0.7535 | 0.3768 |
121 | 0.5795 | 0.8411 | 0.4205 |
122 | 0.5334 | 0.9332 | 0.4666 |
123 | 0.5487 | 0.9025 | 0.4513 |
124 | 0.5052 | 0.9897 | 0.4948 |
125 | 0.4617 | 0.9234 | 0.5383 |
126 | 0.4597 | 0.9193 | 0.5403 |
127 | 0.4419 | 0.8837 | 0.5581 |
128 | 0.4117 | 0.8234 | 0.5883 |
129 | 0.4989 | 0.9977 | 0.5011 |
130 | 0.511 | 0.978 | 0.489 |
131 | 0.4729 | 0.9459 | 0.5271 |
132 | 0.422 | 0.8439 | 0.578 |
133 | 0.4897 | 0.9794 | 0.5103 |
134 | 0.4482 | 0.8964 | 0.5518 |
135 | 0.4234 | 0.8468 | 0.5766 |
136 | 0.5134 | 0.9732 | 0.4866 |
137 | 0.468 | 0.936 | 0.532 |
138 | 0.4707 | 0.9415 | 0.5293 |
139 | 0.5343 | 0.9315 | 0.4657 |
140 | 0.6564 | 0.6872 | 0.3436 |
141 | 0.6755 | 0.649 | 0.3245 |
142 | 0.6293 | 0.7413 | 0.3707 |
143 | 0.6159 | 0.7681 | 0.3841 |
144 | 0.5741 | 0.8519 | 0.4259 |
145 | 0.5202 | 0.9596 | 0.4798 |
146 | 0.4975 | 0.995 | 0.5025 |
147 | 0.4907 | 0.9813 | 0.5093 |
148 | 0.4313 | 0.8627 | 0.5687 |
149 | 0.4168 | 0.8337 | 0.5832 |
150 | 0.5106 | 0.9787 | 0.4894 |
151 | 0.4452 | 0.8903 | 0.5548 |
152 | 0.4469 | 0.8937 | 0.5531 |
153 | 0.377 | 0.7539 | 0.623 |
154 | 0.5381 | 0.9238 | 0.4619 |
155 | 0.4898 | 0.9797 | 0.5102 |
156 | 0.4238 | 0.8476 | 0.5762 |
157 | 0.3477 | 0.6953 | 0.6523 |
158 | 0.3247 | 0.6494 | 0.6753 |
159 | 0.2738 | 0.5476 | 0.7262 |
160 | 0.2228 | 0.4456 | 0.7772 |
161 | 0.3411 | 0.6822 | 0.6589 |
162 | 0.3486 | 0.6971 | 0.6514 |
163 | 0.3962 | 0.7923 | 0.6038 |
164 | 0.4567 | 0.9133 | 0.5433 |
165 | 0.352 | 0.7041 | 0.648 |
166 | 0.9259 | 0.1481 | 0.07406 |
167 | 0.8379 | 0.3241 | 0.1621 |
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 | 3 | 0.0192308 | OK |
10% type I error level | 11 | 0.0705128 | OK |
Ramsey RESET F-Test for powers (2 and 3) of fitted values |
> reset_test_fitted RESET test data: mylm RESET = 6.0483, df1 = 2, df2 = 168, p-value = 0.002907 |
Ramsey RESET F-Test for powers (2 and 3) of regressors |
> reset_test_regressors RESET test data: mylm RESET = 0.71112, df1 = 16, df2 = 154, p-value = 0.7797 |
Ramsey RESET F-Test for powers (2 and 3) of principal components |
> reset_test_principal_components RESET test data: mylm RESET = 0.61035, df1 = 2, df2 = 168, p-value = 0.5444 |
Variance Inflation Factors (Multicollinearity) |
> vif Relative_Advantage Perceived_Usefulness Perceived_Ease_of_Use 1.609698 1.864763 2.409057 Information_Quality System_Quality groupB 2.725858 1.809323 1.461880 genderB t 1.084025 1.227261 |