| Multiple Linear Regression - Estimated Regression Equation |
| Y[t] = + 1.43052631578947 + 0.0494736842105260x1[t] + 0.107514450867052x2[t] + 0.00442593222260001x3[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) | 1.43052631578947 | 0.001096 | 1304.8902 | 0 | 0 |
| x1 | 0.0494736842105260 | 0.001401 | 35.3114 | 0 | 0 |
| x2 | 0.107514450867052 | 0.001752 | 61.3513 | 0 | 0 |
| x3 | 0.00442593222260001 | 0.000173 | 25.6546 | 0 | 0 |
| Multiple Linear Regression - Regression Statistics | |
| Multiple R | 0.998178686668432 |
| R-squared | 0.996360690519116 |
| Adjusted R-squared | 0.9962001327479 |
| F-TEST (value) | 6205.62108564577 |
| F-TEST (DF numerator) | 3 |
| F-TEST (DF denominator) | 68 |
| p-value | 0 |
| Multiple Linear Regression - Residual Statistics | |
| Residual Standard Deviation | 0.00477857810284735 |
| Sum Squared Residuals | 0.00155276699058083 |
| Multiple Linear Regression - Actuals, Interpolation, and Residuals | |||
| Time or Index | Actuals | Interpolation Forecast | Residuals Prediction Error |
| 1 | 1.43 | 1.43052631578947 | -0.000526315789470217 |
| 2 | 1.43 | 1.43052631578947 | -0.000526315789473545 |
| 3 | 1.43 | 1.43052631578947 | -0.000526315789474022 |
| 4 | 1.43 | 1.43052631578947 | -0.000526315789473954 |
| 5 | 1.43 | 1.43052631578947 | -0.000526315789473884 |
| 6 | 1.43 | 1.43052631578947 | -0.000526315789473884 |
| 7 | 1.43 | 1.43052631578947 | -0.000526315789473884 |
| 8 | 1.43 | 1.43052631578947 | -0.000526315789473884 |
| 9 | 1.43 | 1.43052631578947 | -0.000526315789473884 |
| 10 | 1.43 | 1.43052631578947 | -0.000526315789473884 |
| 11 | 1.43 | 1.43052631578947 | -0.000526315789473884 |
| 12 | 1.43 | 1.43052631578947 | -0.000526315789473884 |
| 13 | 1.43 | 1.43052631578947 | -0.000526315789473884 |
| 14 | 1.43 | 1.43052631578947 | -0.000526315789473884 |
| 15 | 1.43 | 1.43052631578947 | -0.000526315789473884 |
| 16 | 1.43 | 1.43052631578947 | -0.000526315789473884 |
| 17 | 1.43 | 1.43052631578947 | -0.000526315789473884 |
| 18 | 1.43 | 1.43052631578947 | -0.000526315789473884 |
| 19 | 1.44 | 1.43052631578947 | 0.00947368421052612 |
| 20 | 1.48 | 1.48 | 1.42301535138722e-19 |
| 21 | 1.48 | 1.48 | 1.42301535138722e-19 |
| 22 | 1.48 | 1.48 | 1.42301535138722e-19 |
| 23 | 1.48 | 1.48 | 1.42301535138722e-19 |
| 24 | 1.48 | 1.48 | 1.42301535138722e-19 |
| 25 | 1.48 | 1.48 | 1.42301535138722e-19 |
| 26 | 1.48 | 1.48 | 1.42301535138722e-19 |
| 27 | 1.48 | 1.48 | 1.42301535138722e-19 |
| 28 | 1.48 | 1.48 | 1.42301535138722e-19 |
| 29 | 1.48 | 1.48 | 1.42301535138722e-19 |
| 30 | 1.48 | 1.48 | 1.42301535138722e-19 |
| 31 | 1.48 | 1.48 | 1.42301535138722e-19 |
| 32 | 1.48 | 1.48 | 1.42301535138722e-19 |
| 33 | 1.48 | 1.48 | 1.42301535138722e-19 |
| 34 | 1.48 | 1.48 | 1.42301535138722e-19 |
| 35 | 1.48 | 1.48 | 1.42301535138722e-19 |
| 36 | 1.48 | 1.48 | 1.42301535138722e-19 |
| 37 | 1.48 | 1.48 | 1.42301535138722e-19 |
| 38 | 1.48 | 1.48 | 1.42301535138722e-19 |
| 39 | 1.48 | 1.48 | 1.42301535138722e-19 |
| 40 | 1.48 | 1.48 | 1.42301535138722e-19 |
| 41 | 1.48 | 1.48 | 1.42301535138722e-19 |
| 42 | 1.48 | 1.48 | 1.42301535138722e-19 |
| 43 | 1.48 | 1.48 | 1.42301535138722e-19 |
| 44 | 1.48 | 1.48 | 1.42301535138722e-19 |
| 45 | 1.48 | 1.48 | 1.42301535138722e-19 |
| 46 | 1.48 | 1.48 | 1.42301535138722e-19 |
| 47 | 1.48 | 1.48 | 1.42301535138722e-19 |
| 48 | 1.48 | 1.48 | 1.42301535138722e-19 |
| 49 | 1.48 | 1.48 | 1.42301535138722e-19 |
| 50 | 1.57 | 1.58751445086705 | -0.0175144508670520 |
| 51 | 1.58 | 1.58751445086705 | -0.00751445086705203 |
| 52 | 1.58 | 1.58751445086705 | -0.00751445086705203 |
| 53 | 1.58 | 1.58751445086705 | -0.00751445086705203 |
| 54 | 1.58 | 1.58751445086705 | -0.00751445086705203 |
| 55 | 1.59 | 1.58751445086705 | 0.00248554913294797 |
| 56 | 1.6 | 1.59194038308965 | 0.00805961691034797 |
| 57 | 1.6 | 1.59636631531225 | 0.00363368468774796 |
| 58 | 1.61 | 1.60079224753485 | 0.00920775246514796 |
| 59 | 1.61 | 1.60521817975745 | 0.00478182024254795 |
| 60 | 1.61 | 1.60964411198005 | 0.000355888019947941 |
| 61 | 1.62 | 1.61407004420265 | 0.00592995579734794 |
| 62 | 1.63 | 1.61849597642525 | 0.0115040235747477 |
| 63 | 1.63 | 1.62292190864785 | 0.00707809135214771 |
| 64 | 1.64 | 1.62734784087045 | 0.0126521591295477 |
| 65 | 1.64 | 1.63177377309305 | 0.0082262269069477 |
| 66 | 1.64 | 1.63619970531565 | 0.00380029468434769 |
| 67 | 1.64 | 1.64062563753825 | -0.000625637538252325 |
| 68 | 1.64 | 1.64505156976085 | -0.00505156976085233 |
| 69 | 1.65 | 1.64947750198345 | 0.000522498016547664 |
| 70 | 1.65 | 1.65390343420605 | -0.00390343420605234 |
| 71 | 1.65 | 1.65832936642865 | -0.00832936642865235 |
| 72 | 1.65 | 1.66275529865125 | -0.0127552986512524 |
