Multiple Linear Regression - Estimated Regression Equation
werkl[t] = + 9.49129736541874 -0.0033318274051573Iprod[t] -0.00722191047269792t + e[t]


Multiple Linear Regression - Ordinary Least Squares
VariableParameterS.D.T-STAT
H0: parameter = 0
2-tail p-value1-tail p-value
(Intercept)9.491297365418740.68028113.95200
Iprod-0.00333182740515730.002183-1.52660.1324020.066201
t-0.007221910472697920.003698-1.95320.0557130.027856


Multiple Linear Regression - Regression Statistics
Multiple R0.388374131532672
R-squared0.150834466043757
Adjusted R-squared0.121039184150555
F-TEST (value)5.06236076518454
F-TEST (DF numerator)2
F-TEST (DF denominator)57
p-value0.00946852263049802
Multiple Linear Regression - Residual Statistics
Residual Standard Deviation0.454991888492492
Sum Squared Residuals11.8000042598560


Multiple Linear Regression - Actuals, Interpolation, and Residuals
Time or IndexActualsInterpolation
Forecast
Residuals
Prediction Error
18.18.28794941649463-0.187949416494628
28.38.46197891686244-0.161978916862434
38.28.47774661548532-0.277746615485324
48.18.45186647154374-0.351866471543744
57.78.43998000270383-0.739980002703826
67.68.34413148325394-0.744131483253944
77.78.37855741534571-0.678557415345712
88.28.4113174337349-0.211317433734902
98.48.323132117316880.076867882683119
108.48.47250609488658-0.072506094886576
118.68.546580773099720.0534192269002831
128.48.285806797094550.114193202905452
138.58.269588952627930.230411047372074
148.78.356324574980660.343675425019336
158.78.309787101127110.39021289887289
168.68.411849129543570.188150870456429
177.48.36631120391156-0.966311203911564
187.38.15984601461046-0.85984601461046
197.48.2635739567295-0.8635739567295
2098.333650442056450.666349557943549
219.28.133515724825141.06648427517485
229.28.373515407815120.82648459218488
238.58.371957603931190.128042396068811
248.38.124510937546650.175489062453351
258.38.157937321416870.14206267858313
268.68.20435783216720.395642167832794
278.68.182475881111810.417524118888184
288.58.277207889236930.222792110763069
298.18.25699185188412-0.156991851884120
308.18.10283635284399-0.00283635284398502
3188.18590696505105-0.185906965051049
328.68.220999262623850.37900073737615
338.78.048518712855350.65148128714465
348.78.342493999808870.357506000191128
358.68.283961947296750.316038052703249
368.48.055839879862120.344160120137876
378.48.14990552250620.250094477493792
388.78.100702586728530.599297413271471
398.78.136128067041840.563871932958156
408.58.15755987225350.342440127746502
418.38.118019235950770.181980764049226
428.37.92488135627030.375118643729701
438.38.12923048602510.170769513974911
448.17.995399134156410.104600865843585
458.27.927871147650370.272128852349629
468.18.21651551075564-0.116515510755640
478.18.15631754454094-0.0563175445409412
487.97.93919050754333-0.0391905075433329
497.77.91830810470949-0.218308104709490
508.17.93874036169960.161259638300402
5188.0054850196214-0.00548501962139219
527.77.98260352034445-0.282603520344455
537.87.98304481290362-0.183044812903619
547.67.80323424284377-0.203234242843773
557.47.95294140315398-0.552941403153983
567.77.90540438107888-0.205404381078882
577.87.774904856615360.0250951433846354
587.58.01390499138379-0.513904991383791
597.28.02300903519636-0.823009035196363
6077.87118581533984-0.871185815339839