| Multiple Linear Regression - Estimated Regression Equation |
| Intention_to_Use[t] = -1.02844 + 0.0917069Perceived_Usefulness[t] + 0.103309Perceived_Ease_of_Use[t] + 1Resid[t] + 0.188132genderB[t] + 0.895018groupB[t] + 0.328297Relative_Advantage[t] + 0.000830561Information_Quality[t] + 0.0876004System_Quality[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) | -1.028 | 1.466e-15 | -7.0160e+14 | 0 | 0 |
| Perceived_Usefulness | +0.09171 | 1.109e-16 | +8.2730e+14 | 0 | 0 |
| Perceived_Ease_of_Use | +0.1033 | 1.005e-16 | +1.0280e+15 | 0 | 0 |
| Resid | +1 | 1.433e-16 | +6.9800e+15 | 0 | 0 |
| genderB | +0.1881 | 3.852e-16 | +4.8840e+14 | 0 | 0 |
| groupB | +0.895 | 4.645e-16 | +1.9270e+15 | 0 | 0 |
| Relative_Advantage | +0.3283 | 1.129e-16 | +2.9090e+15 | 0 | 0 |
| Information_Quality | +0.0008306 | 1.116e-16 | +7.4400e+12 | 0 | 0 |
| System_Quality | +0.0876 | 5.411e-17 | +1.6190e+15 | 0 | 0 |
| Multiple Linear Regression - Regression Statistics | |
| Multiple R | 1 |
| R-squared | 1 |
| Adjusted R-squared | 1 |
| F-TEST (value) | 1.398e+31 |
| F-TEST (DF numerator) | 8 |
| F-TEST (DF denominator) | 170 |
| p-value | 0 |
| Multiple Linear Regression - Residual Statistics | |
| Residual Standard Deviation | 2.477e-15 |
| Sum Squared Residuals | 1.043e-27 |
| 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 | 10 | 5.335e-15 |
| 2 | 8 | 8 | -1.193e-14 |
| 3 | 8 | 8 | 2.952e-15 |
| 4 | 9 | 9 | -1.294e-14 |
| 5 | 5 | 5 | 3.466e-15 |
| 6 | 10 | 10 | -3.706e-15 |
| 7 | 8 | 8 | 7.825e-15 |
| 8 | 9 | 9 | -5.871e-16 |
| 9 | 8 | 8 | 4.07e-15 |
| 10 | 7 | 7 | -5.191e-15 |
| 11 | 10 | 10 | -5.687e-16 |
| 12 | 10 | 10 | -3.102e-15 |
| 13 | 9 | 9 | 3.641e-15 |
| 14 | 4 | 4 | 9.106e-17 |
| 15 | 4 | 4 | 1.251e-15 |
| 16 | 8 | 8 | -5.012e-16 |
| 17 | 9 | 9 | -5.164e-16 |
| 18 | 10 | 10 | -2.118e-15 |
| 19 | 8 | 8 | 5.305e-16 |
| 20 | 5 | 5 | 1.95e-15 |
| 21 | 10 | 10 | -2.779e-15 |
| 22 | 8 | 8 | 1.049e-15 |
| 23 | 7 | 7 | -1.39e-16 |
| 24 | 8 | 8 | 8.096e-17 |
| 25 | 8 | 8 | 1.952e-15 |
| 26 | 9 | 9 | 2.657e-15 |
| 27 | 8 | 8 | -1.268e-16 |
| 28 | 6 | 6 | -1.801e-15 |
| 29 | 8 | 8 | 1.22e-15 |
| 30 | 8 | 8 | -4.878e-17 |
| 31 | 5 | 5 | 3.006e-15 |
| 32 | 9 | 9 | 2.227e-16 |
| 33 | 8 | 8 | -1.854e-16 |
| 34 | 8 | 8 | 3.521e-15 |
| 35 | 8 | 8 | 9.781e-16 |
| 36 | 6 | 6 | -1.561e-15 |
| 37 | 6 | 6 | -3.549e-16 |
| 38 | 9 | 9 | 3.872e-15 |
| 39 | 8 | 8 | -1.136e-15 |
| 40 | 9 | 9 | -4.698e-16 |
| 41 | 10 | 10 | 1.753e-15 |
| 42 | 8 | 8 | 9.948e-17 |
| 43 | 8 | 8 | 1.318e-15 |
| 44 | 7 | 7 | 5.202e-17 |
| 45 | 7 | 7 | -4.175e-17 |
| 46 | 10 | 10 | 8.79e-16 |
| 47 | 8 | 8 | 8.948e-16 |
| 48 | 7 | 7 | 4.577e-17 |
| 49 | 10 | 10 | -7.396e-17 |
| 50 | 7 | 7 | 9.983e-16 |
| 51 | 7 | 7 | -3.863e-15 |
| 52 | 9 | 9 | -6.358e-16 |
| 53 | 9 | 9 | -2.958e-16 |
| 54 | 8 | 8 | -5.243e-16 |
| 55 | 6 | 6 | -2.893e-15 |
| 56 | 8 | 8 | -1.859e-16 |
| 57 | 9 | 9 | 4.012e-15 |
| 58 | 2 | 2 | -1.485e-15 |
| 59 | 6 | 6 | -3.506e-16 |
| 60 | 8 | 8 | -3.333e-16 |
| 61 | 8 | 8 | -6.449e-16 |
| 62 | 7 | 7 | 1.318e-15 |
| 63 | 8 | 8 | 3.886e-17 |
| 64 | 6 | 6 | -8.293e-16 |
| 65 | 10 | 10 | -3.877e-15 |
| 66 | 10 | 10 | 4.131e-15 |
| 67 | 10 | 10 | 4.374e-15 |
| 68 | 8 | 8 | 2.293e-16 |
| 69 | 8 | 8 | 3.339e-16 |
| 70 | 7 | 7 | -4.159e-16 |
| 71 | 10 | 10 | -1.395e-15 |
| 72 | 5 | 5 | -1.274e-15 |
| 73 | 3 | 3 | 6.39e-17 |
| 74 | 2 | 2 | 4.885e-15 |
| 75 | 3 | 3 | -2.777e-15 |
| 76 | 4 | 4 | -3.954e-16 |
| 77 | 2 | 2 | 1.637e-15 |
| 78 | 6 | 6 | 2.15e-17 |
| 79 | 8 | 8 | 3.843e-16 |
| 80 | 8 | 8 | -1.478e-15 |
| 81 | 5 | 5 | -3.286e-16 |
| 82 | 10 | 10 | -5.451e-16 |
| 83 | 9 | 9 | 1.089e-15 |
| 84 | 8 | 8 | -1.428e-15 |
| 85 | 9 | 9 | 4.186e-16 |
| 86 | 8 | 8 | -4.437e-15 |
| 87 | 5 | 5 | -4.424e-15 |
| 88 | 7 | 7 | -5.544e-16 |
| 89 | 9 | 9 | 6.155e-16 |
| 90 | 8 | 8 | 4.737e-16 |
| 91 | 4 | 4 | 1.971e-15 |
| 92 | 7 | 7 | 2.753e-16 |
| 93 | 8 | 8 | 4.296e-15 |
| 94 | 7 | 7 | 4.479e-16 |
| 95 | 7 | 7 | -1.641e-16 |
| 96 | 9 | 9 | 7.395e-16 |
| 97 | 6 | 6 | 5.153e-16 |
| 98 | 7 | 7 | -3.423e-16 |
| 99 | 4 | 4 | 2.374e-15 |
| 100 | 6 | 6 | -5.723e-18 |
| 101 | 10 | 10 | -1.307e-15 |
| 102 | 9 | 9 | -1.863e-16 |
| 103 | 10 | 10 | 3.449e-16 |
| 104 | 8 | 8 | -4.839e-16 |
| 105 | 4 | 4 | 3.429e-15 |
| 106 | 8 | 8 | -2.271e-15 |
| 107 | 5 | 5 | -3.208e-15 |
| 108 | 8 | 8 | -1.427e-16 |
| 109 | 9 | 9 | -1.678e-15 |
| 110 | 8 | 8 | -7.316e-16 |
| 111 | 4 | 4 | 2.614e-15 |
| 112 | 8 | 8 | 1.559e-15 |
| 113 | 10 | 10 | 4.187e-15 |
| 114 | 6 | 6 | 7.002e-17 |
| 115 | 7 | 7 | -5.263e-16 |
| 116 | 10 | 10 | 6.194e-16 |
| 117 | 9 | 9 | 1.251e-15 |
| 118 | 8 | 8 | 3.895e-16 |
| 119 | 3 | 3 | -3.355e-15 |
| 120 | 8 | 8 | -3.417e-15 |
| 121 | 7 | 7 | -6.294e-16 |
| 122 | 7 | 7 | 1.799e-16 |
| 123 | 8 | 8 | 2.474e-15 |
| 124 | 8 | 8 | -1.233e-16 |
| 125 | 7 | 7 | 8.72e-17 |
| 126 | 7 | 7 | 2.273e-15 |
| 127 | 9 | 9 | -1.433e-15 |
| 128 | 9 | 9 | 1.614e-16 |
| 129 | 9 | 9 | 1.875e-15 |
| 130 | 4 | 4 | 3.4e-15 |
| 131 | 6 | 6 | -2.228e-16 |
| 132 | 6 | 6 | -7.685e-16 |
| 133 | 6 | 6 | -1.509e-15 |
| 134 | 8 | 8 | 1.228e-16 |
| 135 | 3 | 3 | 1.128e-15 |
| 136 | 8 | 8 | -3.654e-15 |
| 137 | 8 | 8 | -4.924e-16 |
| 138 | 6 | 6 | -3.249e-16 |
| 139 | 10 | 10 | 4.565e-16 |
| 140 | 2 | 2 | -9.797e-16 |
| 141 | 9 | 9 | -4.526e-15 |
| 142 | 6 | 6 | -1.179e-15 |
| 143 | 6 | 6 | 3.409e-15 |
| 144 | 5 | 5 | 7.531e-16 |
| 145 | 4 | 4 | -1.638e-16 |
| 146 | 7 | 7 | 2.339e-16 |
| 147 | 5 | 5 | -7.552e-16 |
| 148 | 8 | 8 | 5.336e-16 |
| 149 | 6 | 6 | -1.201e-16 |
| 150 | 9 | 9 | -1.438e-17 |
| 151 | 6 | 6 | -9.079e-17 |
| 152 | 4 | 4 | 8.032e-16 |
| 153 | 7 | 7 | -2.619e-16 |
| 154 | 2 | 2 | -1.52e-15 |
| 155 | 8 | 8 | 5.7e-15 |
| 156 | 9 | 9 | -1.684e-16 |
| 157 | 6 | 6 | -4.006e-16 |
| 158 | 5 | 5 | -8.385e-16 |
| 159 | 7 | 7 | -4.487e-16 |
| 160 | 8 | 8 | -5.536e-16 |
| 161 | 4 | 4 | -7.57e-16 |
| 162 | 9 | 9 | 9.253e-18 |
| 163 | 9 | 9 | 3.153e-16 |
| 164 | 9 | 9 | -8.082e-18 |
| 165 | 7 | 7 | 7.675e-16 |
| 166 | 5 | 5 | -4.177e-15 |
| 167 | 7 | 7 | 2.435e-16 |
| 168 | 9 | 9 | 2.789e-15 |
| 169 | 8 | 8 | -3.627e-15 |
| 170 | 6 | 6 | 4.054e-16 |
| 171 | 9 | 9 | 7.998e-16 |
| 172 | 8 | 8 | -2.548e-16 |
| 173 | 7 | 7 | -3.744e-16 |
| 174 | 7 | 7 | -6.646e-16 |
| 175 | 7 | 7 | 2.171e-16 |
| 176 | 8 | 8 | -2.78e-16 |
| 177 | 10 | 10 | 9.216e-16 |
| 178 | 6 | 6 | 9.718e-17 |
| 179 | 6 | 6 | -5.865e-16 |
| Goldfeld-Quandt test for Heteroskedasticity | |||
| p-values | Alternative Hypothesis | ||
| breakpoint index | greater | 2-sided | less |
| 12 | 1 | 1.531e-25 | 7.656e-26 |
| 13 | 1 | 3.261e-22 | 1.63e-22 |
| 14 | 1 | 2.294e-30 | 1.147e-30 |
| 15 | 1 | 7.129e-35 | 3.564e-35 |
| 16 | 1 | 1.52e-94 | 7.598e-95 |
| 17 | 1 | 3.32e-93 | 1.66e-93 |
| 18 | 1 | 1.807e-87 | 9.033e-88 |
| 19 | 1 | 6.656e-95 | 3.328e-95 |
| 20 | 1 | 2.858e-13 | 1.429e-13 |
| 21 | 1 | 1.224e-92 | 6.12e-93 |
| 22 | 1 | 5.177e-23 | 2.588e-23 |
| 23 | 1 | 8.788e-60 | 4.394e-60 |
| 24 | 1 | 8.964e-42 | 4.482e-42 |
| 25 | 1 | 2.908e-46 | 1.454e-46 |
| 26 | 1 | 1.712e-89 | 8.558e-90 |
| 27 | 1 | 1.412e-92 | 7.058e-93 |
| 28 | 1 | 3.625e-71 | 1.812e-71 |
| 29 | 1 | 5.897e-63 | 2.948e-63 |
| 30 | 1 | 1.279e-59 | 6.394e-60 |
| 31 | 1 | 5.782e-75 | 2.891e-75 |
| 32 | 1 | 3.263e-24 | 1.632e-24 |
| 33 | 1 | 8.658e-86 | 4.329e-86 |
| 34 | 1 | 2.406e-85 | 1.203e-85 |
| 35 | 1 | 4.235e-45 | 2.117e-45 |
| 36 | 1 | 1.864e-52 | 9.322e-53 |
| 37 | 1 | 8.718e-24 | 4.359e-24 |
| 38 | 1 | 6.767e-50 | 3.383e-50 |
| 39 | 1 | 2.952e-67 | 1.476e-67 |
| 40 | 1 | 1.262e-77 | 6.31e-78 |
| 41 | 1 | 1.221e-36 | 6.107e-37 |
| 42 | 1 | 1.041e-55 | 5.203e-56 |
| 43 | 1 | 2.034e-58 | 1.017e-58 |
| 44 | 1 | 1.076e-13 | 5.382e-14 |
| 45 | 1 | 3.914e-49 | 1.957e-49 |
| 46 | 1 | 1.865e-56 | 9.326e-57 |
| 47 | 1 | 2.665e-11 | 1.332e-11 |
| 48 | 1 | 5.368e-63 | 2.684e-63 |
| 49 | 1 | 2.314e-63 | 1.157e-63 |
| 50 | 1 | 1.218e-38 | 6.092e-39 |
| 51 | 1 | 1.066e-10 | 5.329e-11 |
| 52 | 1 | 1.71e-48 | 8.55e-49 |
| 53 | 1 | 4.288e-43 | 2.144e-43 |
| 54 | 1 | 1.356e-61 | 6.782e-62 |
| 55 | 1 | 6.868e-35 | 3.434e-35 |
| 56 | 1 | 1.03e-64 | 5.152e-65 |
| 57 | 1 | 1.121e-56 | 5.605e-57 |
| 58 | 1 | 1.139e-58 | 5.696e-59 |
| 59 | 1 | 2.007e-56 | 1.004e-56 |
| 60 | 1 | 7.764e-38 | 3.882e-38 |
| 61 | 1 | 1.116e-44 | 5.582e-45 |
| 62 | 1 | 1.023e-57 | 5.116e-58 |
| 63 | 1 | 3.907e-49 | 1.953e-49 |
| 64 | 1 | 1.565e-31 | 7.826e-32 |
| 65 | 1 | 2.238e-68 | 1.119e-68 |
| 66 | 1 | 1.213e-60 | 6.067e-61 |
| 67 | 1 | 9.12e-30 | 4.56e-30 |
| 68 | 1 | 3.619e-66 | 1.809e-66 |
| 69 | 1 | 2.661e-36 | 1.33e-36 |
| 70 | 1 | 3.659e-35 | 1.829e-35 |
| 71 | 1 | 4.342e-32 | 2.171e-32 |
| 72 | 1 | 5.138e-36 | 2.569e-36 |
| 73 | 1 | 5.481e-38 | 2.74e-38 |
| 74 | 1 | 2.045e-47 | 1.023e-47 |
| 75 | 1 | 1.113e-46 | 5.566e-47 |
| 76 | 1 | 1.719e-46 | 8.594e-47 |
| 77 | 1 | 9.308e-43 | 4.654e-43 |
| 78 | 1 | 9.914e-67 | 4.957e-67 |
| 79 | 1 | 8.236e-66 | 4.118e-66 |
| 80 | 1 | 1.046e-58 | 5.232e-59 |
| 81 | 1 | 3.256e-21 | 1.628e-21 |
| 82 | 1 | 6.795e-39 | 3.397e-39 |
| 83 | 1 | 4.242e-40 | 2.121e-40 |
| 84 | 1 | 4.913e-51 | 2.456e-51 |
| 85 | 1 | 1.056e-37 | 5.281e-38 |
| 86 | 1 | 2.287e-40 | 1.143e-40 |
| 87 | 1 | 1.798e-29 | 8.991e-30 |
| 88 | 1 | 4.047e-38 | 2.024e-38 |
| 89 | 1 | 7.684e-20 | 3.842e-20 |
| 90 | 1 | 1.107e-35 | 5.535e-36 |
| 91 | 1 | 4.131e-40 | 2.065e-40 |
| 92 | 1 | 4.298e-23 | 2.149e-23 |
| 93 | 1 | 2.178e-32 | 1.089e-32 |
| 94 | 1 | 1.842e-41 | 9.208e-42 |
| 95 | 1 | 1.597e-36 | 7.986e-37 |
| 96 | 1 | 6.348e-46 | 3.174e-46 |
| 97 | 1 | 1.378e-16 | 6.892e-17 |
| 98 | 1 | 2.282e-37 | 1.141e-37 |
| 99 | 1 | 9.255e-20 | 4.627e-20 |
| 100 | 1 | 3.451e-43 | 1.725e-43 |
| 101 | 1 | 4.178e-24 | 2.089e-24 |
| 102 | 1 | 2.79e-20 | 1.395e-20 |
| 103 | 1 | 1.279e-19 | 6.396e-20 |
| 104 | 1 | 2.129e-20 | 1.064e-20 |
| 105 | 1 | 4.748e-41 | 2.374e-41 |
| 106 | 1 | 9.146e-30 | 4.573e-30 |
| 107 | 1 | 4.467e-33 | 2.233e-33 |
| 108 | 1 | 3.076e-41 | 1.538e-41 |
| 109 | 1 | 5.291e-28 | 2.646e-28 |
| 110 | 1 | 2.799e-44 | 1.399e-44 |
| 111 | 1 | 1.223e-29 | 6.115e-30 |
| 112 | 1 | 4.505e-26 | 2.253e-26 |
| 113 | 1 | 3.657e-28 | 1.829e-28 |
| 114 | 1 | 8.572e-33 | 4.286e-33 |
| 115 | 1 | 4.181e-24 | 2.09e-24 |
| 116 | 1 | 1.287e-33 | 6.434e-34 |
| 117 | 1 | 1.479e-25 | 7.397e-26 |
| 118 | 1 | 1.618e-32 | 8.091e-33 |
| 119 | 1 | 1.237e-23 | 6.183e-24 |
| 120 | 1 | 2.655e-25 | 1.328e-25 |
| 121 | 1 | 2.31e-32 | 1.155e-32 |
| 122 | 1 | 2.311e-21 | 1.156e-21 |
| 123 | 1 | 1.922e-29 | 9.608e-30 |
| 124 | 1 | 7.867e-26 | 3.934e-26 |
| 125 | 1 | 1.053e-18 | 5.264e-19 |
| 126 | 1 | 1.548e-19 | 7.742e-20 |
| 127 | 1 | 1.295e-25 | 6.474e-26 |
| 128 | 0.9999 | 0.0001844 | 9.22e-05 |
| 129 | 1 | 3.203e-20 | 1.601e-20 |
| 130 | 1 | 1.696e-23 | 8.481e-24 |
| 131 | 1 | 2.526e-26 | 1.263e-26 |
| 132 | 1 | 5.284e-06 | 2.642e-06 |
| 133 | 1 | 1.935e-25 | 9.675e-26 |
| 134 | 1 | 5.088e-28 | 2.544e-28 |
| 135 | 1 | 2.221e-10 | 1.11e-10 |
| 136 | 1 | 8.371e-25 | 4.186e-25 |
| 137 | 1 | 9.138e-19 | 4.569e-19 |
| 138 | 1 | 1.321e-15 | 6.604e-16 |
| 139 | 1 | 1.901e-11 | 9.504e-12 |
| 140 | 1 | 2.847e-15 | 1.424e-15 |
| 141 | 1 | 8.969e-21 | 4.484e-21 |
| 142 | 1 | 5.445e-15 | 2.723e-15 |
| 143 | 1 | 3.46e-14 | 1.73e-14 |
| 144 | 1 | 9.604e-19 | 4.802e-19 |
| 145 | 1 | 4.728e-12 | 2.364e-12 |
| 146 | 1 | 4.023e-16 | 2.011e-16 |
| 147 | 1 | 7.174e-20 | 3.587e-20 |
| 148 | 1 | 3.067e-16 | 1.534e-16 |
| 149 | 1 | 1.362e-15 | 6.809e-16 |
| 150 | 1 | 7.379e-09 | 3.69e-09 |
| 151 | 1 | 2.175e-13 | 1.087e-13 |
| 152 | 1 | 4.27e-12 | 2.135e-12 |
| 153 | 1 | 6.433e-12 | 3.216e-12 |
| 154 | 1 | 4.513e-13 | 2.256e-13 |
| 155 | 1 | 1.825e-10 | 9.125e-11 |
| 156 | 1 | 6.652e-11 | 3.326e-11 |
| 157 | 1 | 1.711e-08 | 8.554e-09 |
| 158 | 1 | 9.986e-09 | 4.993e-09 |
| 159 | 0.9999 | 0.0001682 | 8.411e-05 |
| 160 | 1 | 6.207e-08 | 3.104e-08 |
| 161 | 1 | 7.05e-06 | 3.525e-06 |
| 162 | 1 | 3.929e-07 | 1.964e-07 |
| 163 | 1 | 5.651e-06 | 2.826e-06 |
| 164 | 1 | 1.081e-05 | 5.404e-06 |
| 165 | 1 | 5.029e-06 | 2.515e-06 |
| 166 | 0.9859 | 0.02829 | 0.01414 |
| 167 | 0.9678 | 0.06444 | 0.03222 |
| Meta Analysis of Goldfeld-Quandt test for Heteroskedasticity | |||
| Description | # significant tests | % significant tests | OK/NOK |
| 1% type I error level | 154 | 0.9872 | NOK |
| 5% type I error level | 155 | 0.99359 | NOK |
| 10% type I error level | 156 | 1 | NOK |
| Ramsey RESET F-Test for powers (2 and 3) of fitted values |
> reset_test_fitted RESET test data: mylm RESET = 1.866, df1 = 2, df2 = 168, p-value = 0.1579 |
| Ramsey RESET F-Test for powers (2 and 3) of regressors |
> reset_test_regressors RESET test data: mylm RESET = 0.45553, df1 = 16, df2 = 154, p-value = 0.9638 |
| Ramsey RESET F-Test for powers (2 and 3) of principal components |
> reset_test_principal_components RESET test data: mylm RESET = 0.14984, df1 = 2, df2 = 168, p-value = 0.861 |
| Variance Inflation Factors (Multicollinearity) |
> vif
Perceived_Usefulness Perceived_Ease_of_Use Resid
1.864367 2.408801 1.000000
genderB groupB Relative_Advantage
1.081904 1.251689 1.601567
Information_Quality System_Quality
2.725076 1.794514
|
