Multiple Linear Regression - Estimated Regression Equation |
TIMEin[t] = + 1219.84629652389 -1.17141485359846DATE[t] + 1.94073888650875TEMP[t] -15.0904221241061RAIN[t] -0.00503232626156151BIRDS[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) | 1219.84629652389 | 4.931254 | 247.3704 | 0 | 0 |
DATE | -1.17141485359846 | 0.177255 | -6.6087 | 4e-06 | 2e-06 |
TEMP | 1.94073888650875 | 0.489908 | 3.9614 | 0.001008 | 0.000504 |
RAIN | -15.0904221241061 | 4.385216 | -3.4412 | 0.003117 | 0.001558 |
BIRDS | -0.00503232626156151 | 0.004695 | -1.0718 | 0.298795 | 0.149397 |
Multiple Linear Regression - Regression Statistics | |
Multiple R | 0.901396032504719 |
R-squared | 0.812514807415248 |
Adjusted R-squared | 0.76840064445413 |
F-TEST (value) | 18.41845686002 |
F-TEST (DF numerator) | 4 |
F-TEST (DF denominator) | 17 |
p-value | 5.22632880284313e-06 |
Multiple Linear Regression - Residual Statistics | |
Residual Standard Deviation | 6.89881638867686 |
Sum Squared Residuals | 809.0923485995 |
Multiple Linear Regression - Actuals, Interpolation, and Residuals | |||
Time or Index | Actuals | Interpolation Forecast | Residuals Prediction Error |
1 | 1192 | 1203.67068591505 | -11.6706859150458 |
2 | 1196 | 1192.15906524173 | 3.84093475827361 |
3 | 1183 | 1194.01743557117 | -11.0174355711655 |
4 | 1210 | 1201.20964135164 | 8.79035864835658 |
5 | 1210 | 1209.07095245102 | 0.92904754897962 |
6 | 1218 | 1210.65714042868 | 7.34285957132274 |
7 | 1219 | 1218.26064660467 | 0.739353395325344 |
8 | 1202 | 1193.31528764618 | 8.68471235381585 |
9 | 1195 | 1192.76757521505 | 2.2324247849497 |
10 | 1203 | 1202.46452911586 | 0.535470884142716 |
11 | 1170 | 1178.08100995452 | -8.08100995451672 |
12 | 1189 | 1184.75992480376 | 4.24007519624311 |
13 | 1199 | 1197.18905111943 | 1.8109488805682 |
14 | 1196 | 1201.06243455669 | -5.06243455668915 |
15 | 1189 | 1184.37331935166 | 4.62668064833723 |
16 | 1185 | 1196.90816011133 | -11.9081601113269 |
17 | 1192 | 1189.30143794571 | 2.69856205429072 |
18 | 1188 | 1184.46985281318 | 3.53014718682504 |
19 | 1176 | 1179.88640244672 | -3.88640244671591 |
20 | 1166 | 1163.0191024644 | 2.98089753560389 |
21 | 1176 | 1175.37332505264 | 0.626674947362246 |
22 | 1181 | 1182.98301983894 | -1.98301983893664 |