| Multiple Linear Regression - Estimated Regression Equation |
| Weeks[t] = + 2.84061538461538 -0.256641025641026Limit[t] + 0.486666666666667Usefull[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) | 2.84061538461538 | 0.317489 | 8.9471 | 0 | 0 |
| Limit | -0.256641025641026 | 0.167687 | -1.5305 | 0.127992 | 0.063996 |
| Usefull | 0.486666666666667 | 0.177652 | 2.7394 | 0.006896 | 0.003448 |
| Multiple Linear Regression - Regression Statistics | |
| Multiple R | 0.242434167665263 |
| R-squared | 0.0587743256515486 |
| Adjusted R-squared | 0.0463077604283902 |
| F-TEST (value) | 4.7145564635853 |
| F-TEST (DF numerator) | 2 |
| F-TEST (DF denominator) | 151 |
| p-value | 0.0103247434678587 |
| Multiple Linear Regression - Residual Statistics | |
| Residual Standard Deviation | 0.973042313150977 |
| Sum Squared Residuals | 142.968512820513 |
| Multiple Linear Regression - Actuals, Interpolation, and Residuals | |||
| Time or Index | Actuals | Interpolation Forecast | Residuals Prediction Error |
| 1 | 4 | 2.814 | 1.186 |
| 2 | 4 | 3.07064102564103 | 0.929358974358974 |
| 3 | 4 | 3.07064102564103 | 0.929358974358975 |
| 4 | 4 | 3.07064102564103 | 0.929358974358974 |
| 5 | 4 | 3.07064102564103 | 0.929358974358974 |
| 6 | 4 | 3.30066666666667 | 0.699333333333333 |
| 7 | 4 | 3.07064102564103 | 0.929358974358974 |
| 8 | 4 | 3.07064102564103 | 0.929358974358974 |
| 9 | 4 | 3.07064102564103 | 0.929358974358974 |
| 10 | 4 | 2.814 | 1.186 |
| 11 | 4 | 2.814 | 1.186 |
| 12 | 4 | 3.07064102564103 | 0.929358974358974 |
| 13 | 4 | 3.55730769230769 | 0.442692307692308 |
| 14 | 4 | 2.814 | 1.186 |
| 15 | 4 | 3.55730769230769 | 0.442692307692308 |
| 16 | 4 | 3.55730769230769 | 0.442692307692308 |
| 17 | 4 | 3.30066666666667 | 0.699333333333333 |
| 18 | 4 | 2.814 | 1.186 |
| 19 | 4 | 3.07064102564103 | 0.929358974358974 |
| 20 | 4 | 3.55730769230769 | 0.442692307692308 |
| 21 | 4 | 3.30066666666667 | 0.699333333333333 |
| 22 | 4 | 3.30066666666667 | 0.699333333333333 |
| 23 | 4 | 3.55730769230769 | 0.442692307692308 |
| 24 | 4 | 3.30066666666667 | 0.699333333333333 |
| 25 | 4 | 3.07064102564103 | 0.929358974358974 |
| 26 | 4 | 3.55730769230769 | 0.442692307692308 |
| 27 | 4 | 2.814 | 1.186 |
| 28 | 4 | 3.07064102564103 | 0.929358974358974 |
| 29 | 4 | 3.07064102564103 | 0.929358974358974 |
| 30 | 4 | 3.55730769230769 | 0.442692307692308 |
| 31 | 4 | 3.07064102564103 | 0.929358974358974 |
| 32 | 4 | 2.814 | 1.186 |
| 33 | 4 | 3.30066666666667 | 0.699333333333333 |
| 34 | 4 | 3.07064102564103 | 0.929358974358974 |
| 35 | 4 | 3.07064102564103 | 0.929358974358974 |
| 36 | 4 | 3.07064102564103 | 0.929358974358974 |
| 37 | 4 | 3.30066666666667 | 0.699333333333333 |
| 38 | 4 | 3.07064102564103 | 0.929358974358974 |
| 39 | 4 | 3.55730769230769 | 0.442692307692308 |
| 40 | 4 | 3.55730769230769 | 0.442692307692308 |
| 41 | 4 | 3.55730769230769 | 0.442692307692308 |
| 42 | 4 | 3.07064102564103 | 0.929358974358974 |
| 43 | 4 | 3.30066666666667 | 0.699333333333333 |
| 44 | 4 | 2.814 | 1.186 |
| 45 | 4 | 3.55730769230769 | 0.442692307692308 |
| 46 | 4 | 3.55730769230769 | 0.442692307692308 |
| 47 | 4 | 3.07064102564103 | 0.929358974358974 |
| 48 | 4 | 3.07064102564103 | 0.929358974358974 |
| 49 | 4 | 3.55730769230769 | 0.442692307692308 |
| 50 | 4 | 3.07064102564103 | 0.929358974358974 |
| 51 | 4 | 3.07064102564103 | 0.929358974358974 |
| 52 | 4 | 3.30066666666667 | 0.699333333333333 |
| 53 | 4 | 3.07064102564103 | 0.929358974358974 |
| 54 | 4 | 3.07064102564103 | 0.929358974358974 |
| 55 | 4 | 3.07064102564103 | 0.929358974358974 |
| 56 | 4 | 3.07064102564103 | 0.929358974358974 |
| 57 | 4 | 3.55730769230769 | 0.442692307692308 |
| 58 | 4 | 3.07064102564103 | 0.929358974358974 |
| 59 | 4 | 3.07064102564103 | 0.929358974358974 |
| 60 | 4 | 3.30066666666667 | 0.699333333333333 |
| 61 | 4 | 2.814 | 1.186 |
| 62 | 4 | 3.55730769230769 | 0.442692307692308 |
| 63 | 4 | 3.07064102564103 | 0.929358974358974 |
| 64 | 4 | 2.814 | 1.186 |
| 65 | 4 | 3.07064102564103 | 0.929358974358974 |
| 66 | 4 | 3.07064102564103 | 0.929358974358974 |
| 67 | 4 | 3.55730769230769 | 0.442692307692308 |
| 68 | 4 | 2.814 | 1.186 |
| 69 | 4 | 3.07064102564103 | 0.929358974358974 |
| 70 | 4 | 3.07064102564103 | 0.929358974358974 |
| 71 | 4 | 3.07064102564103 | 0.929358974358974 |
| 72 | 4 | 3.07064102564103 | 0.929358974358974 |
| 73 | 4 | 3.07064102564103 | 0.929358974358974 |
| 74 | 4 | 2.814 | 1.186 |
| 75 | 4 | 3.07064102564103 | 0.929358974358974 |
| 76 | 4 | 3.55730769230769 | 0.442692307692308 |
| 77 | 4 | 3.07064102564103 | 0.929358974358974 |
| 78 | 4 | 3.55730769230769 | 0.442692307692308 |
| 79 | 4 | 3.07064102564103 | 0.929358974358974 |
| 80 | 4 | 3.55730769230769 | 0.442692307692308 |
| 81 | 4 | 3.07064102564103 | 0.929358974358974 |
| 82 | 4 | 2.814 | 1.186 |
| 83 | 4 | 3.07064102564103 | 0.929358974358974 |
| 84 | 4 | 3.07064102564103 | 0.929358974358974 |
| 85 | 4 | 3.55730769230769 | 0.442692307692308 |
| 86 | 4 | 2.814 | 1.186 |
| 87 | 2 | 2.814 | -0.814 |
| 88 | 2 | 2.814 | -0.814 |
| 89 | 2 | 3.07064102564103 | -1.07064102564103 |
| 90 | 2 | 3.07064102564103 | -1.07064102564103 |
| 91 | 2 | 3.55730769230769 | -1.55730769230769 |
| 92 | 2 | 2.814 | -0.814 |
| 93 | 2 | 3.30066666666667 | -1.30066666666667 |
| 94 | 2 | 3.07064102564103 | -1.07064102564103 |
| 95 | 2 | 3.07064102564103 | -1.07064102564103 |
| 96 | 2 | 3.07064102564103 | -1.07064102564103 |
| 97 | 2 | 2.814 | -0.814 |
| 98 | 2 | 3.07064102564103 | -1.07064102564103 |
| 99 | 2 | 2.814 | -0.814 |
| 100 | 2 | 3.07064102564103 | -1.07064102564103 |
| 101 | 2 | 2.814 | -0.814 |
| 102 | 2 | 3.07064102564103 | -1.07064102564103 |
| 103 | 2 | 3.07064102564103 | -1.07064102564103 |
| 104 | 2 | 3.07064102564103 | -1.07064102564103 |
| 105 | 2 | 3.07064102564103 | -1.07064102564103 |
| 106 | 2 | 3.07064102564103 | -1.07064102564103 |
| 107 | 2 | 3.07064102564103 | -1.07064102564103 |
| 108 | 2 | 2.814 | -0.814 |
| 109 | 2 | 3.07064102564103 | -1.07064102564103 |
| 110 | 2 | 2.814 | -0.814 |
| 111 | 2 | 3.30066666666667 | -1.30066666666667 |
| 112 | 2 | 3.07064102564103 | -1.07064102564103 |
| 113 | 2 | 3.07064102564103 | -1.07064102564103 |
| 114 | 2 | 2.814 | -0.814 |
| 115 | 2 | 2.814 | -0.814 |
| 116 | 2 | 3.07064102564103 | -1.07064102564103 |
| 117 | 2 | 2.814 | -0.814 |
| 118 | 2 | 2.814 | -0.814 |
| 119 | 2 | 3.07064102564103 | -1.07064102564103 |
| 120 | 2 | 3.07064102564103 | -1.07064102564103 |
| 121 | 2 | 2.814 | -0.814 |
| 122 | 2 | 3.07064102564103 | -1.07064102564103 |
| 123 | 2 | 2.814 | -0.814 |
| 124 | 2 | 3.55730769230769 | -1.55730769230769 |
| 125 | 2 | 3.07064102564103 | -1.07064102564103 |
| 126 | 2 | 3.07064102564103 | -1.07064102564103 |
| 127 | 2 | 3.55730769230769 | -1.55730769230769 |
| 128 | 2 | 3.07064102564103 | -1.07064102564103 |
| 129 | 2 | 3.07064102564103 | -1.07064102564103 |
| 130 | 2 | 3.07064102564103 | -1.07064102564103 |
| 131 | 2 | 2.814 | -0.814 |
| 132 | 2 | 2.814 | -0.814 |
| 133 | 2 | 2.814 | -0.814 |
| 134 | 2 | 3.07064102564103 | -1.07064102564103 |
| 135 | 2 | 3.07064102564103 | -1.07064102564103 |
| 136 | 2 | 3.07064102564103 | -1.07064102564103 |
| 137 | 2 | 3.30066666666667 | -1.30066666666667 |
| 138 | 2 | 3.30066666666667 | -1.30066666666667 |
| 139 | 2 | 3.07064102564103 | -1.07064102564103 |
| 140 | 2 | 3.07064102564103 | -1.07064102564103 |
| 141 | 2 | 3.07064102564103 | -1.07064102564103 |
| 142 | 2 | 3.07064102564103 | -1.07064102564103 |
| 143 | 2 | 2.814 | -0.814 |
| 144 | 2 | 3.55730769230769 | -1.55730769230769 |
| 145 | 2 | 3.55730769230769 | -1.55730769230769 |
| 146 | 2 | 3.07064102564103 | -1.07064102564103 |
| 147 | 2 | 3.07064102564103 | -1.07064102564103 |
| 148 | 2 | 3.07064102564103 | -1.07064102564103 |
| 149 | 2 | 2.814 | -0.814 |
| 150 | 2 | 3.55730769230769 | -1.55730769230769 |
| 151 | 2 | 3.07064102564103 | -1.07064102564103 |
| 152 | 2 | 2.814 | -0.814 |
| 153 | 2 | 3.30066666666667 | -1.30066666666667 |
| 154 | 2 | 2.814 | -0.814 |
| Goldfeld-Quandt test for Heteroskedasticity | |||
| p-values | Alternative Hypothesis | ||
| breakpoint index | greater | 2-sided | less |
| 6 | 3.42224302746374e-95 | 6.84448605492748e-95 | 1 |
| 7 | 6.50738342137437e-125 | 1.30147668427487e-124 | 1 |
| 8 | 3.60117033551498e-154 | 7.20234067102996e-154 | 1 |
| 9 | 5.26882514588535e-192 | 1.05376502917707e-191 | 1 |
| 10 | 6.81499992520983e-110 | 1.36299998504197e-109 | 1 |
| 11 | 6.25253852053408e-131 | 1.25050770410682e-130 | 1 |
| 12 | 1.45449550378083e-137 | 2.90899100756165e-137 | 1 |
| 13 | 2.25918390686146e-173 | 4.51836781372292e-173 | 1 |
| 14 | 2.08082844964901e-166 | 4.16165689929803e-166 | 1 |
| 15 | 1.15293736560362e-181 | 2.30587473120725e-181 | 1 |
| 16 | 0 | 0 | 1 |
| 17 | 3.68882794525519e-228 | 7.37765589051038e-228 | 1 |
| 18 | 5.24083658380475e-229 | 1.04816731676095e-228 | 1 |
| 19 | 1.33941442212317e-242 | 2.67882884424633e-242 | 1 |
| 20 | 2.83061749877872e-270 | 5.66123499755744e-270 | 1 |
| 21 | 4.2229185149793e-309 | 8.44583702995861e-309 | 1 |
| 22 | 5.40363538492316e-292 | 1.08072707698463e-291 | 1 |
| 23 | 2.7139694806185e-302 | 5.427938961237e-302 | 1 |
| 24 | 2.48515019858147e-321 | 4.97030039716294e-321 | 1 |
| 25 | 0 | 0 | 1 |
| 26 | 0 | 0 | 1 |
| 27 | 0 | 0 | 1 |
| 28 | 0 | 0 | 1 |
| 29 | 0 | 0 | 1 |
| 30 | 0 | 0 | 1 |
| 31 | 0 | 0 | 1 |
| 32 | 0 | 0 | 1 |
| 33 | 0 | 0 | 1 |
| 34 | 0 | 0 | 1 |
| 35 | 0 | 0 | 1 |
| 36 | 0 | 0 | 1 |
| 37 | 0 | 0 | 1 |
| 38 | 0 | 0 | 1 |
| 39 | 0 | 0 | 1 |
| 40 | 0 | 0 | 1 |
| 41 | 0 | 0 | 1 |
| 42 | 0 | 0 | 1 |
| 43 | 0 | 0 | 1 |
| 44 | 0 | 0 | 1 |
| 45 | 0 | 0 | 1 |
| 46 | 0 | 0 | 1 |
| 47 | 0 | 0 | 1 |
| 48 | 0 | 0 | 1 |
| 49 | 0 | 0 | 1 |
| 50 | 0 | 0 | 1 |
| 51 | 0 | 0 | 1 |
| 52 | 0 | 0 | 1 |
| 53 | 0 | 0 | 1 |
| 54 | 0 | 0 | 1 |
| 55 | 0 | 0 | 1 |
| 56 | 0 | 0 | 1 |
| 57 | 0 | 0 | 1 |
| 58 | 0 | 0 | 1 |
| 59 | 0 | 0 | 1 |
| 60 | 0 | 0 | 1 |
| 61 | 0 | 0 | 1 |
| 62 | 0 | 0 | 1 |
| 63 | 0 | 0 | 1 |
| 64 | 0 | 0 | 1 |
| 65 | 0 | 0 | 1 |
| 66 | 0 | 0 | 1 |
| 67 | 0 | 0 | 1 |
| 68 | 0 | 0 | 1 |
| 69 | 0 | 0 | 1 |
| 70 | 0 | 0 | 1 |
| 71 | 0 | 0 | 1 |
| 72 | 0 | 0 | 1 |
| 73 | 0 | 0 | 1 |
| 74 | 0 | 0 | 1 |
| 75 | 0 | 0 | 1 |
| 76 | 0 | 0 | 1 |
| 77 | 0 | 0 | 1 |
| 78 | 0 | 0 | 1 |
| 79 | 0 | 0 | 1 |
| 80 | 0 | 0 | 1 |
| 81 | 0 | 0 | 1 |
| 82 | 0 | 0 | 1 |
| 83 | 0 | 0 | 1 |
| 84 | 0 | 0 | 1 |
| 85 | 0 | 0 | 1 |
| 86 | 1 | 5.92768662772036e-20 | 2.96384331386018e-20 |
| 87 | 1 | 0 | 0 |
| 88 | 1 | 0 | 0 |
| 89 | 1 | 0 | 0 |
| 90 | 1 | 0 | 0 |
| 91 | 1 | 0 | 0 |
| 92 | 1 | 0 | 0 |
| 93 | 1 | 0 | 0 |
| 94 | 1 | 0 | 0 |
| 95 | 1 | 0 | 0 |
| 96 | 1 | 0 | 0 |
| 97 | 1 | 0 | 0 |
| 98 | 1 | 0 | 0 |
| 99 | 1 | 0 | 0 |
| 100 | 1 | 0 | 0 |
| 101 | 1 | 0 | 0 |
| 102 | 1 | 0 | 0 |
| 103 | 1 | 0 | 0 |
| 104 | 1 | 0 | 0 |
| 105 | 1 | 0 | 0 |
| 106 | 1 | 0 | 0 |
| 107 | 1 | 0 | 0 |
| 108 | 1 | 0 | 0 |
| 109 | 1 | 0 | 0 |
| 110 | 1 | 0 | 0 |
| 111 | 1 | 0 | 0 |
| 112 | 1 | 0 | 0 |
| 113 | 1 | 0 | 0 |
| 114 | 1 | 0 | 0 |
| 115 | 1 | 0 | 0 |
| 116 | 1 | 0 | 0 |
| 117 | 1 | 0 | 0 |
| 118 | 1 | 0 | 0 |
| 119 | 1 | 0 | 0 |
| 120 | 1 | 0 | 0 |
| 121 | 1 | 0 | 0 |
| 122 | 1 | 0 | 0 |
| 123 | 1 | 0 | 0 |
| 124 | 1 | 0 | 0 |
| 125 | 1 | 0 | 0 |
| 126 | 1 | 0 | 0 |
| 127 | 1 | 0 | 0 |
| 128 | 1 | 0 | 0 |
| 129 | 1 | 0 | 0 |
| 130 | 1 | 0 | 0 |
| 131 | 1 | 1.82764757654563e-307 | 9.13823788272813e-308 |
| 132 | 1 | 5.23532812911766e-297 | 2.61766406455883e-297 |
| 133 | 1 | 1.73958393193087e-313 | 8.69791965965437e-314 |
| 134 | 1 | 1.99467567252926e-274 | 9.97337836264628e-275 |
| 135 | 1 | 1.50111270956862e-246 | 7.50556354784312e-247 |
| 136 | 1 | 3.36736671334651e-233 | 1.68368335667325e-233 |
| 137 | 1 | 3.21186789448155e-232 | 1.60593394724078e-232 |
| 138 | 1 | 0 | 0 |
| 139 | 1 | 1.45406372893904e-184 | 7.27031864469521e-185 |
| 140 | 1 | 4.25658264111275e-169 | 2.12829132055638e-169 |
| 141 | 1 | 1.14997073323328e-175 | 5.74985366616638e-176 |
| 142 | 1 | 1.40043812724978e-139 | 7.00219063624888e-140 |
| 143 | 1 | 8.00702194888132e-133 | 4.00351097444066e-133 |
| 144 | 1 | 2.51179656401129e-111 | 1.25589828200565e-111 |
| 145 | 1 | 3.455326721941e-95 | 1.7276633609705e-95 |
| 146 | 1 | 1.53257989829897e-77 | 7.66289949149484e-78 |
| 147 | 1 | 1.43593907304121e-62 | 7.17969536520606e-63 |
| 148 | 1 | 2.63533733724205e-47 | 1.31766866862103e-47 |
| Meta Analysis of Goldfeld-Quandt test for Heteroskedasticity | |||
| Description | # significant tests | % significant tests | OK/NOK |
| 1% type I error level | 143 | 1 | NOK |
| 5% type I error level | 143 | 1 | NOK |
| 10% type I error level | 143 | 1 | NOK |
