Multiple Linear Regression - Estimated Regression Equation
Invest[t] = + 62.826214719616 + 0.137386490692146Tot.prod[t] -19.0234796796854Tijd[t] + e[t]


Multiple Linear Regression - Ordinary Least Squares
VariableParameterS.D.T-STAT
H0: parameter = 0
2-tail p-value1-tail p-value
(Intercept)62.82621471961635.7769821.75610.0843590.042179
Tot.prod0.1373864906921460.3522450.390.6979420.348971
Tijd-19.02347967968548.857292-2.14780.0359220.017961


Multiple Linear Regression - Regression Statistics
Multiple R0.272384919863927
R-squared0.0741935445692779
Adjusted R-squared0.0422691840371839
F-TEST (value)2.32404168267334
F-TEST (DF numerator)2
F-TEST (DF denominator)58
p-value0.106926643940794
Multiple Linear Regression - Residual Statistics
Residual Standard Deviation21.9495379548793
Sum Squared Residuals27943.3685530958


Multiple Linear Regression - Actuals, Interpolation, and Residuals
Time or IndexActualsInterpolation
Forecast
Residuals
Prediction Error
172.577.9936832920288-5.49368329202883
259.476.0702724223388-16.6702724223389
385.776.82589812114578.87410187885435
488.277.416660031121910.7833399688781
562.873.9545204656798-11.1545204656798
68775.836715388162211.1632846118378
779.276.70225027952282.49774972047724
811258.832817121651453.1671828783486
979.257.857373037737121.3426269622629
10132.156.263689745708275.8363102542917
1140.157.019315444515-16.9193154445150
126957.005576795445811.9944232045542
1359.458.36570305329811.03429694670191
1473.857.967282230290915.8327177697091
1557.457.8161570905295-0.416157090529503
1681.158.187100615398322.9128993846017
1746.655.6179732394552-9.01797323945515
1841.456.4560308326772-15.0560308326772
1971.258.48935089492112.7106491050790
2067.959.27245389186638.62754610813375
217257.774941143321914.2250588566781
22145.556.44229218360889.057707816392
2339.757.1841792333456-17.4841792333456
2451.957.1292246370688-5.22922463706877
2573.758.283271158882815.4167288411172
2670.957.91232763401412.987672365986
2760.857.28034977683013.51965022316987
286158.15962331725992.84037668274013
2954.555.8103143264242-1.31031432642416
3039.156.1537805531545-17.0537805531545
3166.658.88777171792827.71222828207175
3258.559.1488060502433-0.648806050243326
3359.857.34904302217622.45095697782380
3480.957.115485987999523.7845140120005
3537.356.8681903047537-19.5681903047537
3644.657.1292246370688-12.5292246370688
3748.759.2861925409355-10.5861925409355
385457.9398049321524-3.93980493215243
3949.557.1841792333456-7.68417923334563
4061.659.10759010303572.49240989696432
413555.8103143264242-20.8103143264242
4235.757.1017473389303-21.4017473389303
4351.359.4785336279045-8.17853362790448
444958.9564649632743-9.95646496327432
4541.558.0771914228446-16.5771914228446
4672.557.761202494252614.7387975057474
4742.156.7994970594076-14.6994970594076
4844.156.9780994973074-12.8780994973074
4945.158.1871006153983-13.0871006153983
5050.357.9260662830832-7.62606628308322
5140.957.2803497768301-16.3803497768301
5247.259.4510563297660-12.2510563297660
5336.954.9173021369252-18.0173021369252
5440.956.950622199169-16.0506221991690
5538.359.3548857862815-21.0548857862816
5646.358.3519644042289-12.0519644042289
5728.458.7503852272361-30.3503852272361
5878.457.857373037737120.5426269622629
5936.857.4039976184531-20.6039976184531
6050.757.6375546526297-6.93755465262971
6142.859.6708747148735-16.8708747148735