The SAS System The GLM Procedure Class Level Information Class Levels Values eyecont 2 1 2 gender 2 1 2 Number of observations 20 The SAS System The GLM Procedure Dependent Variable: y Sum of Source DF Squares Mean Square F Value Pr > F Model 3 131.7500000 43.9166667 7.23 0.0028 Error 16 97.2000000 6.0750000 Corrected Total 19 228.9500000 R-Square Coeff Var Root MSE y Mean 0.575453 18.88698 2.464752 13.05000 Source DF Type I SS Mean Square F Value Pr > F eyecont 1 54.45000000 54.45000000 8.96 0.0086 gender 1 76.05000000 76.05000000 12.52 0.0027 eyecont*gender 1 1.25000000 1.25000000 0.21 0.6562 Source DF Type III SS Mean Square F Value Pr > F eyecont 1 54.45000000 54.45000000 8.96 0.0086 gender 1 76.05000000 76.05000000 12.52 0.0027 eyecont*gender 1 1.25000000 1.25000000 0.21 0.6562 The SAS System The GLM Procedure Observation Observed Predicted Residual 1 11.00000000 9.20000000 1.80000000 2 7.00000000 9.20000000 -2.20000000 3 12.00000000 9.20000000 2.80000000 4 6.00000000 9.20000000 -3.20000000 5 10.00000000 9.20000000 0.80000000 6 15.00000000 13.60000000 1.40000000 7 12.00000000 13.60000000 -1.60000000 8 14.00000000 13.60000000 0.40000000 9 11.00000000 13.60000000 -2.60000000 10 16.00000000 13.60000000 2.40000000 11 12.00000000 13.00000000 -1.00000000 12 16.00000000 13.00000000 3.00000000 13 10.00000000 13.00000000 -3.00000000 14 13.00000000 13.00000000 0.00000000 15 14.00000000 13.00000000 1.00000000 16 14.00000000 16.40000000 -2.40000000 17 17.00000000 16.40000000 0.60000000 18 13.00000000 16.40000000 -3.40000000 19 20.00000000 16.40000000 3.60000000 20 18.00000000 16.40000000 1.60000000 Sum of Residuals -0.00000000 Sum of Squared Residuals 97.20000000 Sum of Squared Residuals - Error SS 0.00000000 First Order Autocorrelation -0.59094650 Durbin-Watson D 3.12222222 The SAS System The UNIVARIATE Procedure Variable: e Moments N 20 Sum Weights 20 Mean 0 Sum Observations 0 Std Deviation 2.2618111 Variance 5.11578947 Skewness -0.1128052 Kurtosis -1.3436881 Uncorrected SS 97.2 Corrected SS 97.2 Coeff Variation . Std Error Mean 0.50575634 Basic Statistical Measures Location Variability Mean 0.000000 Std Deviation 2.26181 Median 0.500000 Variance 5.11579 Mode . Range 7.00000 Interquartile Range 4.00000 Tests for Location: Mu0=0 Test -Statistic- -----p Value------ Student's t t 0 Pr > |t| 1.0000 Sign M 1.5 Pr >= |M| 0.6476 Signed Rank S -2 Pr >= |S| 0.9451 Tests for Normality Test --Statistic--- -----p Value------ Shapiro-Wilk W 0.934821 Pr < W 0.1911 Kolmogorov-Smirnov D 0.134642 Pr > D >0.1500 Cramer-von Mises W-Sq 0.071592 Pr > W-Sq >0.2500 Anderson-Darling A-Sq 0.451626 Pr > A-Sq 0.2488 Quantiles (Definition 5) Quantile Estimate 100% Max 3.6 99% 3.6 95% 3.3 90% 2.9 75% Q3 1.7 50% Median 0.5 25% Q1 -2.3 The SAS System The UNIVARIATE Procedure Variable: e Quantiles (Definition 5) Quantile Estimate 10% -3.1 5% -3.3 1% -3.4 0% Min -3.4 Extreme Observations ----Lowest---- ----Highest--- Value Obs Value Obs -3.4 18 1.8 1 -3.2 4 2.4 10 -3.0 13 2.8 3 -2.6 9 3.0 12 -2.4 16 3.6 19 Stem Leaf # Boxplot 3 06 2 | 2 48 2 | 1 0468 4 +-----+ 0 0468 4 *--+--* -0 | | -1 60 2 | | -2 642 3 +-----+ -3 420 3 | ----+----+----+----+ Normal Probability Plot 3.5+ *+++ * | *+*++ | **+**+ | **+**++ | +*++ | ++++* | ++*+* ** -3.5+ * +++* +----+----+----+----+----+----+----+----+----+----+ -2 -1 0 +1 +2 The SAS System Plot of e*yhat. Legend: A = 1 obs, B = 2 obs, etc. e ‚ ‚ 3.6 ˆ A 3.4 ˆ 3.2 ˆ 3.0 ˆ A 2.8 ˆ A 2.6 ˆ 2.4 ˆ A 2.2 ˆ 2.0 ˆ 1.8 ˆ A 1.6 ˆ A 1.4 ˆ A 1.2 ˆ 1.0 ˆ A 0.8 ˆ A 0.6 ˆ A 0.4 ˆ A 0.2 ˆ 0.0 ˆ A -0.2 ˆ -0.4 ˆ -0.6 ˆ -0.8 ˆ -1.0 ˆ A -1.2 ˆ -1.4 ˆ -1.6 ˆ A -1.8 ˆ -2.0 ˆ -2.2 ˆ A -2.4 ˆ A -2.6 ˆ A -2.8 ˆ -3.0 ˆ A -3.2 ˆ A -3.4 ˆ A ‚ Šƒƒˆƒƒƒƒƒƒƒƒƒƒƒƒˆƒƒƒƒƒƒƒƒƒƒƒƒˆƒƒƒƒƒƒƒƒƒƒƒƒˆƒƒƒƒƒƒƒƒƒƒƒƒˆƒƒƒƒƒƒƒƒƒƒƒƒˆƒƒ 8 10 12 14 16 18 yhat