SUMMARY OUTPUTForce Constant to Zero
FALSE
Regression Statistics
Multiple R0.197
R Square0.039Goodness of Fit < 0.80
Adjusted R Square-0.081
Standard Error11.383
Observations10
ANOVA
dfSSMSFP-value
Regression141.7459144841.745914480.3221588770.586
Residual81036.654086129.5817607
Total 9 1078.4 Confidence Level
0.950.99
Coefficients Standard Error t Stat P-value Lower 95% Upper 95% Lower 99% Upper 99%
Intercept 27.72435254 13.39697478 2.069448737 0.072 -3.169126685 58.61783176 -17.2277 72.67639
last year wins -0.2895001 0.510051075 -0.567590413 0.586 -1.465679988 0.886679787 -2.00092 1.421919
y = 27.724 -0.29*last year wins
RESIDUAL OUTPUT
Observations
Predictedthis year’s wins
Residuals
Standard Residuals
Sorted Residuals
Percentilethis year’s wins
118.17085-15.17085-1.41356-15.170855.000003
221.06585-0.06585-0.00614-12.2503515.0000011
321.3553511.644651.08500-9.7763525.0000012
420.77635-9.77635-0.91092-4.8813535.0000013
524.25035-12.25035-1.14144-0.3553545.0000021
621.35535-0.35535-0.03311-0.0658555.0000021
717.88135-4.88135-0.454822.8291565.0000021
818.4603514.539651.3547511.6446575.0000033
918.170852.829150.2636113.4866585.0000033
1022.5133513.486651.2566314.5396595.0000036
The equation:
y = 27.724 -0.29*last year wins
y = 27.724 -0.29*last year wins
y = 27.724 -0.29*last year wins
