Multiple Linear Regression - Estimated Regression Equation
Producten[t] = + 0.344236397106684 + 0.244312093866000Machines[t] -0.240781863201269Electronica[t] + 0.120843814609541Medisch[t] + e[t]


Multiple Linear Regression - Ordinary Least Squares
VariableParameterS.D.T-STAT
H0: parameter = 0
2-tail p-value1-tail p-value
(Intercept)0.3442363971066840.564430.60990.5442040.272102
Machines0.2443120938660000.0827652.95190.0044780.002239
Electronica-0.2407818632012690.093352-2.57930.0123270.006164
Medisch0.1208438146095410.0485472.48920.0155450.007773


Multiple Linear Regression - Regression Statistics
Multiple R0.60496196371144
R-squared0.365978977537602
Adjusted R-squared0.334797615777156
F-TEST (value)11.7371069406550
F-TEST (DF numerator)3
F-TEST (DF denominator)61
p-value3.60802363918999e-06
Multiple Linear Regression - Residual Statistics
Residual Standard Deviation4.43887068411695
Sum Squared Residuals1201.91794996908


Multiple Linear Regression - Actuals, Interpolation, and Residuals
Time or IndexActualsInterpolation
Forecast
Residuals
Prediction Error
110.517.899271384123362.61072861587664
2-1.020.621515127489391-1.64151512748939
3-2.682.85397130675664-5.53397130675664
4-9.752.11845076751440-11.8684507675144
53.64-1.283072085125714.92307208512571
69.53.232871768382276.26712823161773
7-0.332.43872599233773-2.76872599233773
8-0.992.5731260791933-3.56312607919330
93.16-0.6861053169147643.84610531691476
104.270.3458547155036083.92414528449639
11-2.97-0.369146440166408-2.60085355983359
12-7.49-2.96584327535655-4.52415672464345
130.33-0.3823634103921650.712363410392165
14-2.571.26027221556495-3.83027221556495
154.072.426306850132821.64369314986718
165.310.1726842917019035.1373157082981
17-8.09-3.31108720864702-4.77891279135298
185.295.83334850923911-0.543348509239105
197.38-3.3517442356704910.7317442356705
20-6.121.54239213978311-7.66239213978311
21-3.382.92680235597392-6.30680235597392
22-8.61-1.26270018150175-7.34729981849825
232.581.962199177775890.617800822224108
2410.027.169646350641172.85035364935883
257.085.302599670658551.77740032934145
26-2.751.15118201853709-3.90118201853709
273.42-1.21230761694064.6323076169406
28-1.60.140309639226780-1.74030963922678
290.653.92944132766354-3.27944132766354
302.861.763340615016941.09665938498306
31-3.52-10.57463838922547.05463838922537
325.653.142249083690912.50775091630909
334.318.47477564673257-4.16477564673257
34-4.39-0.418436405038891-3.97156359496111
35-5.85-1.23123686983064-4.61876313016936
36-5.47-3.66135019518448-1.80864980481552
37-2.3-2.06309283189521-0.236907168104795
38-0.143.01041173459177-3.15041173459177
398.084.708891945616723.37110805438328
40-7.43-5.12206654597946-2.30793345402054
410.02-2.7178977374932.737897737493
42-2.47-0.887912309956835-1.58208769004317
43-2.110.367674769000795-2.47767476900079
447.877.70223608314090.167763916859109
454.662.890253666744221.76974633325578
463.63.159455115245040.440544884754961
47-3.64-1.18991811668346-2.45008188331654
487.262.789365396063424.47063460393658
49-7.62-0.670567975759259-6.94943202424074
5013.834.913178870359398.91682112964061
511.281.57651631494618-0.296516314946182
52-0.32-2.725805727960912.40580572796091
53-2.9-1.14787797416253-1.75212202583747
544.92-0.4730670150098285.39306701500983
5511.995.683905985594816.30609401440519
5610.062.232156794774627.82784320522538
57-2.220.385544959642648-2.60554495964265
583.972.677309794290821.29269020570918
590.56-0.530839029342991.09083902934299
603.342.699190435779940.640809564220057
61-2.86-2.20544658349667-0.654553416503333
624.380.9217712193202213.45822878067978
631.430.1597873083711761.27021269162882
64-0.491.39415061828193-1.88415061828193
65-1.23-2.138614567669560.908614567669563