Multiple Linear Regression - Estimated Regression Equation
Broodprijs[t] = + 1.48357142857143 + 0.144206349206349Dummy[t] + e[t]


Multiple Linear Regression - Ordinary Least Squares
VariableParameterS.D.T-STAT
H0: parameter = 0
2-tail p-value1-tail p-value
(Intercept)1.483571428571430.005394275.042200
Dummy0.1442063492063490.00984814.643200


Multiple Linear Regression - Regression Statistics
Multiple R0.887184293010393
R-squared0.78709596976435
Adjusted R-squared0.783425210622356
F-TEST (value)214.423213105940
F-TEST (DF numerator)1
F-TEST (DF denominator)58
p-value0
Multiple Linear Regression - Residual Statistics
Residual Standard Deviation0.0349569678381563
Sum Squared Residuals0.0708753968253977


Multiple Linear Regression - Actuals, Interpolation, and Residuals
Time or IndexActualsInterpolation
Forecast
Residuals
Prediction Error
11.431.48357142857144-0.0535714285714358
21.431.48357142857143-0.0535714285714285
31.431.48357142857143-0.0535714285714284
41.431.48357142857143-0.0535714285714284
51.431.48357142857143-0.0535714285714284
61.431.48357142857143-0.0535714285714284
71.441.48357142857143-0.0435714285714284
81.481.48357142857143-0.00357142857142839
91.481.48357142857143-0.00357142857142839
101.481.48357142857143-0.00357142857142839
111.481.48357142857143-0.00357142857142839
121.481.48357142857143-0.00357142857142839
131.481.48357142857143-0.00357142857142839
141.481.48357142857143-0.00357142857142839
151.481.48357142857143-0.00357142857142839
161.481.48357142857143-0.00357142857142839
171.481.48357142857143-0.00357142857142839
181.481.48357142857143-0.00357142857142839
191.481.48357142857143-0.00357142857142839
201.481.48357142857143-0.00357142857142839
211.481.48357142857143-0.00357142857142839
221.481.48357142857143-0.00357142857142839
231.481.48357142857143-0.00357142857142839
241.481.48357142857143-0.00357142857142839
251.481.48357142857143-0.00357142857142839
261.481.48357142857143-0.00357142857142839
271.481.48357142857143-0.00357142857142839
281.481.48357142857143-0.00357142857142839
291.481.48357142857143-0.00357142857142839
301.481.48357142857143-0.00357142857142839
311.481.48357142857143-0.00357142857142839
321.481.48357142857143-0.00357142857142839
331.481.48357142857143-0.00357142857142839
341.481.48357142857143-0.00357142857142839
351.481.48357142857143-0.00357142857142839
361.481.48357142857143-0.00357142857142839
371.481.48357142857143-0.00357142857142839
381.571.483571428571430.0864285714285717
391.581.483571428571430.0964285714285717
401.581.483571428571430.0964285714285717
411.581.483571428571430.0964285714285717
421.581.483571428571430.0964285714285717
431.591.62777777777778-0.0377777777777777
441.61.62777777777778-0.0277777777777777
451.61.62777777777778-0.0277777777777777
461.611.62777777777778-0.0177777777777777
471.611.62777777777778-0.0177777777777777
481.611.62777777777778-0.0177777777777777
491.621.62777777777778-0.00777777777777766
501.631.627777777777780.00222222222222213
511.631.627777777777780.00222222222222213
521.641.627777777777780.0122222222222221
531.641.627777777777780.0122222222222221
541.641.627777777777780.0122222222222221
551.641.627777777777780.0122222222222221
561.641.627777777777780.0122222222222221
571.651.627777777777780.0222222222222221
581.651.627777777777780.0222222222222221
591.651.627777777777780.0222222222222221
601.651.627777777777780.0222222222222221