Multiple Linear Regression - Estimated Regression Equation
R1j[t] = + 4.26806722689076 -1.44607843137255Ter[t] + 0.133991596638655M1[t] + 0.188571428571428M2[t] + 0.122857142857142M3[t] + 0.102857142857142M4[t] + 0.0442857142857138M5[t] + 0.141428571428571M6[t] + 0.198571428571428M7[t] + 0.171428571428571M8[t] + 0.131428571428571M9[t] + 0.111428571428571M10[t] + 0.0542857142857138M11[t] + e[t]


Multiple Linear Regression - Ordinary Least Squares
VariableParameterS.D.T-STAT
H0: parameter = 0
2-tail p-value1-tail p-value
(Intercept)4.268067226890760.35916911.883200
Ter-1.446078431372550.23704-6.100600
M10.1339915966386550.4063540.32970.7425530.371276
M20.1885714285714280.418860.45020.6539180.326959
M30.1228571428571420.418860.29330.7701260.385063
M40.1028571428571420.418860.24560.8067180.403359
M50.04428571428571380.418860.10570.9160910.458046
M60.1414285714285710.418860.33770.7366080.368304
M70.1985714285714280.418860.47410.636880.31844
M80.1714285714285710.418860.40930.6835530.341777
M90.1314285714285710.418860.31380.7545980.377299
M100.1114285714285710.418860.2660.7909780.395489
M110.05428571428571380.418860.12960.8972410.448621


Multiple Linear Regression - Regression Statistics
Multiple R0.587825781150622
R-squared0.345539148985339
Adjusted R-squared0.236462340482895
F-TEST (value)3.16785166094769
F-TEST (DF numerator)12
F-TEST (DF denominator)72
p-value0.00114284240787388
Multiple Linear Regression - Residual Statistics
Residual Standard Deviation0.783614974102538
Sum Squared Residuals44.211774789916


Multiple Linear Regression - Actuals, Interpolation, and Residuals
Time or IndexActualsInterpolation
Forecast
Residuals
Prediction Error
15.224.402058823529420.817941176470584
25.094.456638655462190.633361344537814
34.774.39092436974790.379075630252101
44.544.37092436974790.169075630252101
54.564.312352941176470.247647058823530
64.394.40949579831933-0.0194957983193280
74.734.466638655462180.263361344537816
84.444.439495798319330.000504201680672845
94.34.39949579831933-0.0994957983193275
104.244.37949579831933-0.139495798319327
114.014.32235294117647-0.31235294117647
123.54.26806722689076-0.768067226890757
133.234.40205882352941-1.17205882352941
143.283.010560224089640.269439775910364
153.492.944845938375350.54515406162465
163.72.924845938375350.77515406162465
173.632.866274509803920.763725490196078
183.952.963417366946780.986582633053221
193.733.020560224089640.709439775910364
203.872.993417366946780.876582633053221
213.662.953417366946780.706582633053221
223.492.933417366946780.556582633053221
233.42.876274509803920.523725490196079
243.322.821988795518210.498011204481792
253.112.955980392156860.154019607843138
263.063.010560224089640.0494397759103645
272.682.94484593837535-0.26484593837535
282.552.92484593837535-0.37484593837535
292.342.86627450980392-0.526274509803922
302.342.96341736694678-0.623417366946779
312.393.02056022408964-0.630560224089636
322.212.99341736694678-0.783417366946779
332.092.95341736694678-0.86341736694678
342.142.93341736694678-0.793417366946779
352.312.87627450980392-0.566274509803922
362.142.82198879551821-0.681988795518208
372.452.95598039215686-0.505980392156862
382.523.01056022408964-0.490560224089636
392.32.94484593837535-0.64484593837535
402.252.92484593837535-0.67484593837535
412.062.86627450980392-0.806274509803922
421.992.96341736694678-0.973417366946779
432.253.02056022408964-0.770560224089636
442.262.99341736694678-0.733417366946779
452.362.95341736694678-0.593417366946779
462.32.93341736694678-0.633417366946779
472.192.87627450980392-0.686274509803922
482.312.82198879551821-0.511988795518208
492.212.95598039215686-0.745980392156862
502.213.01056022408964-0.800560224089636
512.262.94484593837535-0.68484593837535
522.182.92484593837535-0.74484593837535
532.212.86627450980392-0.656274509803922
542.332.96341736694678-0.633417366946779
552.123.02056022408964-0.900560224089636
562.082.99341736694678-0.913417366946779
571.972.95341736694678-0.983417366946778
582.092.93341736694678-0.84341736694678
592.112.87627450980392-0.766274509803922
602.242.82198879551821-0.581988795518208
612.452.95598039215686-0.505980392156862
622.683.01056022408964-0.330560224089635
632.732.94484593837535-0.21484593837535
642.762.92484593837535-0.164845938375350
652.832.86627450980392-0.0362745098039214
663.162.963417366946780.196582633053222
673.223.020560224089640.199439775910364
683.222.993417366946780.226582633053221
693.342.953417366946780.386582633053221
703.352.933417366946780.416582633053221
713.422.876274509803920.543725490196079
723.582.821988795518210.758011204481792
733.712.955980392156860.754019607843138
743.683.010560224089640.669439775910364
753.832.944845938375350.88515406162465
763.942.924845938375351.01515406162465
773.882.866274509803921.01372549019608
784.032.963417366946781.06658263305322
794.153.020560224089641.12943977591036
804.322.993417366946781.32658263305322
814.42.953417366946781.44658263305322
824.372.933417366946781.43658263305322
834.142.876274509803921.26372549019608
844.112.821988795518211.28801120448179
854.162.955980392156861.20401960784314