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Forecasting Multiple regression
Input Data Forecasts and Error Analysis
Y x 1 x 2
Forecast Error
Absolute
error
Squared
error
Absolute
% error
Car 6 $10,900.00 58,200 59915.212 984.788 984.788 969807.278 09.03%
Car 7 $9,500.00 66,800 78562.651 937.349 937.349 878623.715 09.87%
Intercept
14738.816
Slopes
-0.039 -507.303 SE 1588.208
Problem 11-34
Regression Statistics
Multiple R 0.860
ANOVA
df SS MS F Signif F
Regression 2 49939168.307 24969584.154 9.899 0.009
Coeff Std Error t Stat P-value Lower 95% Upper 95%
SUMMARY OUTPUT
