# Variances etc.XLSX - Y 1.00 4.00 3.50 2.75 4.00 3.00 3.75...

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Y X X Mean dif SqdDif SUMMARY OUTPUT 1.00 1.00 1.00 2.82 -1.82 3.31 Regression Statistics 4.00 1.00 1.00 2.82 -1.82 3.31 Multiple R 0.137 3.50 1.00 1.00 2.82 -1.82 3.31 R Square 0.019 2.75 3.00 3.00 2.82 0.18 0.03 Adjusted R Square -0.104 4.00 4.67 4.67 2.82 1.85 3.41 Standard Error 1.186 3.00 2.00 2.00 2.82 -0.82 0.67 Observations 10 3.75 3.83 3.83 2.82 1.01 1.03 3.00 4.17 4.17 2.82 1.35 1.81 ANOVA 1.00 2.17 2.17 2.82 -0.65 0.43 df SS MS F Signif 2.00 5.33 5.33 2.82 2.51 6.32 Regression (SSR) 1 0.216 0.216 0.153 0.706 Mean 2.80 2.82 Residual (SSE) 8 11.259 1.407 Stdev 1.13 1.62 sum= 23.64 Total (SST) 9 11.475 Var 1.28 2.63 n 10 10 Coef Std Error t Stat P-value Intercept 2.531 0.783 3.232 0.012 X 0.096 0.244 0.392 0.706 RESIDUAL OUTPUT Observation Actual Y Predicted Y Residuals 1 1.00 2.626 -1.626 2.645 2 4.00 2.626 1.374 1.887 3 3.50 2.626 0.874 0.763 4 2.75 2.818 -0.068 0.005 5 4.00 2.977 1.023 1.047 2 is the number of coefficients estimated

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