The SAS System 1 08:51 Friday, February 8, 2013 Obs prop time 1 0.07 2 2 0.10 5 3 0.11 7 4 0.42 7 5 0.28 9 6 0.31 9 7 0.41 9 8 0.40 10 9 0.12 11 10 0.19 11 11 0.48 11 12 0.15 12 13 0.35 12 14 0.65 12 15 0.48 13 16 0.58 13 17 0.59 13 18 0.39 14 19 0.47 14 20 0.50 14 21 0.70 15 22 0.30 16 23 0.49 16 24 0.34 17 25 0.51 17 26 0.60 19 27 0.42 21 28 0.69 21 29 0.53 22 30 0.38 23 31 0.60 23 32 0.70 27 33 0.70 28 34 0.40 35 35 0.51 58 plot of prop vs time (all data) 2 08:51 Friday, February 8, 2013 Plot of prop*time. Legend: A = 1 obs, B = 2 obs, etc. prop | | 0.7 + A AA | A | | A | | 0.6 + A A | B | | | A | A A 0.5 + A | A A A | A | | | A A A 0.4 + A A | A A | | A | A | A 0.3 + A | A | | | | 0.2 + | A | | A | | A A 0.1 + A | | A | | | 0.0 + | ---+---------+---------+---------+---------+---------+---------+-- 0 10 20 30 40 50 60 time plot of prop vs time (all data) 3 08:51 Friday, February 8, 2013 The GLM Procedure Number of Observations Read 35 Number of Observations Used 35 plot of prop vs time (all data) 4 08:51 Friday, February 8, 2013 The GLM Procedure Dependent Variable: prop Sum of Source DF Squares Mean Square F Value Model 1 0.22398053 0.22398053 8.20 Error 33 0.90183662 0.02732838 Corrected Total 34 1.12581714 Source Pr > F Model 0.0072 Error Corrected Total R-Square Coeff Var Root MSE prop Mean 0.198949 38.77986 0.165313 0.426286 Source DF Type I SS Mean Square F Value time 1 0.22398053 0.22398053 8.20 Source Pr > F time 0.0072 Source DF Type II SS Mean Square F Value time 1 0.22398053 0.22398053 8.20 Source Pr > F time 0.0072 Standard Parameter Estimate Error t Value Pr > |t| Intercept 0.2952040833 0.05364023 5.50 <.0001 time 0.0081057546 0.00283136 2.86 0.0072 Parameter 95% Confidence Limits Intercept 0.1860722091 0.4043359576 time 0.0023453068 0.0138662023 plot of prop vs time (all data) 5 08:51 Friday, February 8, 2013 The GLM Procedure Observation Observed Predicted Residual 1 0.07000000 0.31141559 -0.24141559 2 0.10000000 0.33573286 -0.23573286 3 0.11000000 0.35194437 -0.24194437 4 0.12000000 0.38436738 -0.26436738 5 0.15000000 0.39247314 -0.24247314 6 0.19000000 0.38436738 -0.19436738 7 0.28000000 0.36815587 -0.08815587 8 0.31000000 0.36815587 -0.05815587 9 0.30000000 0.42489616 -0.12489616 10 0.34000000 0.43300191 -0.09300191 11 0.35000000 0.39247314 -0.04247314 12 0.39000000 0.40868465 -0.01868465 13 0.38000000 0.48163644 -0.10163644 14 0.40000000 0.57890549 -0.17890549 15 0.42000000 0.46542493 -0.04542493 16 0.40000000 0.37626163 0.02373837 17 0.41000000 0.36815587 0.04184413 18 0.42000000 0.35194437 0.06805563 19 0.48000000 0.38436738 0.09563262 20 0.48000000 0.40057889 0.07942111 21 0.47000000 0.40868465 0.06131535 22 0.49000000 0.42489616 0.06510384 23 0.50000000 0.40868465 0.09131535 24 0.51000000 0.43300191 0.07699809 25 0.53000000 0.47353068 0.05646932 26 0.58000000 0.40057889 0.17942111 27 0.59000000 0.40057889 0.18942111 28 0.65000000 0.39247314 0.25752686 29 0.60000000 0.44921342 0.15078658 30 0.60000000 0.48163644 0.11836356 31 0.69000000 0.46542493 0.22457507 32 0.70000000 0.51405946 0.18594054 33 0.70000000 0.52216521 0.17783479 34 0.51000000 0.76533785 -0.25533785 35 0.70000000 0.41679040 0.28320960 95% Confidence Limits for Observation Mean Predicted Value 1 0.21193672 0.41089447 2 0.24986546 0.42160025 3 0.27433544 0.42955329 4 0.32018481 0.44854995 5 0.33075296 0.45419332 6 0.32018481 0.44854995 7 0.29788111 0.43843064 8 0.29788111 0.43843064 9 0.36803713 0.48175518 10 0.37595145 0.49005237 11 0.33075296 0.45419332 12 0.35047439 0.46689490 13 0.41250421 0.55076867 plot of prop vs time (all data) 6 08:51 Friday, February 8, 2013 The GLM Procedure 95% Confidence Limits for Observation Mean Predicted Value 14 0.45644831 0.70136268 15 0.40213486 0.52871500 16 0.30921098 0.44331228 17 0.29788111 0.43843064 18 0.27433544 0.42955329 19 0.32018481 0.44854995 20 0.34086521 0.46029258 21 0.35047439 0.46689490 22 0.36803713 0.48175518 23 0.35047439 0.46689490 24 0.37595145 0.49005237 25 0.40750594 0.53955542 26 0.34086521 0.46029258 27 0.34086521 0.46029258 28 0.33075296 0.45419332 29 0.39007407 0.50835277 30 0.41250421 0.55076867 31 0.40213486 0.52871500 32 0.42966209 0.59845683 33 0.43342546 0.61090496 34 0.51777068 1.01290502 35 0.35954087 0.47403993 Sum of Residuals -0.00000000 Sum of Squared Residuals 0.90183662 Sum of Squared Residuals - Error SS -0.00000000 PRESS Statistic 1.23420248 First Order Autocorrelation 0.59827252 Durbin-Watson D 0.64989148 regression of prop on time (all data) 7 08:51 Friday, February 8, 2013 Obs time prop yhat clml clmu clpl clpu 1 2 0.07 0.31142 0.21194 0.41089 -0.03932 0.66215 2 5 0.10 0.33573 0.24987 0.42160 -0.01139 0.68285 3 7 0.11 0.35194 0.27434 0.42955 0.00677 0.69711 4 11 0.12 0.38437 0.32018 0.44855 0.04197 0.72677 5 12 0.15 0.39247 0.33075 0.45419 0.05053 0.73442 6 11 0.19 0.38437 0.32018 0.44855 0.04197 0.72677 7 9 0.28 0.36816 0.29788 0.43843 0.02456 0.71175 8 9 0.31 0.36816 0.29788 0.43843 0.02456 0.71175 9 16 0.30 0.42490 0.36804 0.48176 0.08379 0.76600 10 17 0.34 0.43300 0.37595 0.49005 0.09187 0.77414 11 12 0.35 0.39247 0.33075 0.45419 0.05053 0.73442 12 14 0.39 0.40868 0.35047 0.46689 0.06735 0.75002 13 23 0.38 0.48164 0.41250 0.55077 0.13827 0.82500 14 35 0.40 0.57891 0.45645 0.70136 0.22097 0.93684 15 21 0.42 0.46542 0.40213 0.52871 0.12319 0.80766 16 10 0.40 0.37626 0.30921 0.44331 0.03331 0.71921 17 9 0.41 0.36816 0.29788 0.43843 0.02456 0.71175 18 7 0.42 0.35194 0.27434 0.42955 0.00677 0.69711 19 11 0.48 0.38437 0.32018 0.44855 0.04197 0.72677 20 13 0.48 0.40058 0.34087 0.46029 0.05899 0.74217 21 14 0.47 0.40868 0.35047 0.46689 0.06735 0.75002 22 16 0.49 0.42490 0.36804 0.48176 0.08379 0.76600 23 14 0.50 0.40868 0.35047 0.46689 0.06735 0.75002 24 17 0.51 0.43300 0.37595 0.49005 0.09187 0.77414 25 22 0.53 0.47353 0.40751 0.53956 0.13078 0.81628 26 13 0.58 0.40058 0.34087 0.46029 0.05899 0.74217 27 13 0.59 0.40058 0.34087 0.46029 0.05899 0.74217 28 12 0.65 0.39247 0.33075 0.45419 0.05053 0.73442 29 19 0.60 0.44921 0.39007 0.50835 0.10772 0.79071 30 23 0.60 0.48164 0.41250 0.55077 0.13827 0.82500 31 21 0.69 0.46542 0.40213 0.52871 0.12319 0.80766 32 27 0.70 0.51406 0.42966 0.59846 0.16730 0.86082 33 28 0.70 0.52217 0.43343 0.61090 0.17432 0.87001 34 58 0.51 0.76534 0.51777 1.01291 0.34772 1.18296 35 15 0.70 0.41679 0.35954 0.47404 0.07562 0.75796 regression of prop on time (all data) 8 08:51 Friday, February 8, 2013 Plot of resid*time. Legend: A = 1 obs, B = 2 obs, etc. resid | | 0.3 + | A | | A | | A | 0.2 + | B A | A | A | | | A 0.1 + A | AA | A AA | A A | A | A | 0.0 +----------------------------------------------------------------- | A | | A A | A | | A -0.1 + A A | | A | | | | A -0.2 + A | | | A A A A | A | A | -0.3 + | ---+---------+---------+---------+---------+---------+---------+-- 0 10 20 30 40 50 60 time regression of prop on time (all data) 9 08:51 Friday, February 8, 2013 The UNIVARIATE Procedure Variable: resid Moments N 35 Sum Weights 35 Mean 0 Sum Observations 0 Std Deviation 0.16286377 Variance 0.02652461 Skewness -0.1742301 Kurtosis -1.071287 Uncorrected SS 0.90183662 Corrected SS 0.90183662 Coeff Variation . Std Error Mean 0.027529 Basic Statistical Measures Location Variability Mean 0.000000 Std Deviation 0.16286 Median 0.041844 Variance 0.02652 Mode . Range 0.54758 Interquartile Range 0.24326 Tests for Location: Mu0=0 Test -Statistic- -----p Value------ Student's t t 0 Pr > |t| 1.0000 Sign M 1.5 Pr >= |M| 0.7359 Signed Rank S 2 Pr >= |S| 0.9744 Tests for Normality Test --Statistic--- -----p Value------ Shapiro-Wilk W 0.946071 Pr < W 0.0858 Kolmogorov-Smirnov D 0.121316 Pr > D >0.1500 Cramer-von Mises W-Sq 0.081011 Pr > W-Sq 0.2020 Anderson-Darling A-Sq 0.56763 Pr > A-Sq 0.1358 Quantiles (Definition 5) Quantile Estimate 100% Max 0.2832096 99% 0.2832096 95% 0.2575269 90% 0.1894211 75% Q3 0.1183636 50% Median 0.0418441 25% Q1 -0.1248962 10% -0.2419444 5% -0.2553378 1% -0.2643674 0% Min -0.2643674 regression of prop on time (all data) 10 08:51 Friday, February 8, 2013 The UNIVARIATE Procedure Variable: resid Extreme Observations ------Lowest------ ------Highest----- Value Obs Value Obs -0.264367 4 0.185941 32 -0.255338 34 0.189421 27 -0.242473 5 0.224575 31 -0.241944 3 0.257527 28 -0.241416 1 0.283210 35 Stem Leaf # Boxplot 2 68 2 | 2 2 1 | 1 58899 5 | 1 02 2 +-----+ 0 6677889 7 | | 0 24 2 *--+--* -0 42 2 | | -0 9965 4 | | -1 20 2 +-----+ -1 98 2 | -2 4444 4 | -2 66 2 | ----+----+----+----+ Multiply Stem.Leaf by 10**-1 Normal Probability Plot 0.275+ +*+ * | +*+ | ****+* | *++ | ****** | **+++ | *** | +** | ++** | +++** | +** ** -0.275+ * +*+ +----+----+----+----+----+----+----+----+----+----+ -2 -1 0 +1 +2 regression of prop on time (all data) 11 08:51 Friday, February 8, 2013 Plot of nscore*resid. Legend: A = 1 obs, B = 2 obs, etc. | | 2.5 + | | | A 2.0 + | | | A R 1.5 + A a | n | A k | A 1.0 + A f | A o | A A r | A 0.5 + AA V | A a | B r | B i 0.0 + A a | A A b | AA l | A e -0.5 + B | A r | A A e | A s -1.0 + A i | A d | A | -1.5 + A | A | | -2.0 + | A | | -2.5 + | --+---------+---------+---------+---------+---------+---------+-- -0.3 -0.2 -0.1 0.0 0.1 0.2 0.3 resid means model (all data) 12 08:51 Friday, February 8, 2013 The GLM Procedure Class Level Information Class Levels Values time 20 2 5 7 9 10 11 12 13 14 15 16 17 19 21 22 23 27 28 35 58 Number of Observations Read 35 Number of Observations Used 35 means model (all data) 13 08:51 Friday, February 8, 2013 The GLM Procedure Dependent Variable: prop Sum of Source DF Squares Mean Square F Value Model 19 0.76195048 0.04010266 1.65 Error 15 0.36386667 0.02425778 Corrected Total 34 1.12581714 Source Pr > F Model 0.1635 Error Corrected Total R-Square Coeff Var Root MSE prop Mean 0.676798 36.53631 0.155749 0.426286 Source DF Type I SS Mean Square F Value time 19 0.76195048 0.04010266 1.65 Source Pr > F time 0.1635 Source DF Type III SS Mean Square F Value time 19 0.76195048 0.04010266 1.65 Source Pr > F time 0.1635 test for lack of fit (all data) 14 08:51 Friday, February 8, 2013 Obs mslof dflof mswithin dfwithin fcalc pvalue 1 0.029887 18 0.024258 15 1.23207 0.34496 plot of prop vs time (data with time <= 28) 15 08:51 Friday, February 8, 2013 Plot of prop*time. Legend: A = 1 obs, B = 2 obs, etc. prop | | 0.7 + A A A | A | | A | | 0.6 + A A | B | | | A | A 0.5 + A | A A A | A | | | A A A 0.4 + A | A A | | A | A | A 0.3 + A | A | | | | 0.2 + | A | | A | | A A 0.1 + A | | A | | | 0.0 + | ---+---------+---------+---------+---------+---------+---------+-- 0 5 10 15 20 25 30 time plot of prop vs time (data with time <= 28) 16 08:51 Friday, February 8, 2013 The GLM Procedure Number of Observations Read 33 Number of Observations Used 33 plot of prop vs time (data with time <= 28) 17 08:51 Friday, February 8, 2013 The GLM Procedure Dependent Variable: prop Sum of Source DF Squares Mean Square F Value Model 1 0.50382436 0.50382436 25.43 Error 31 0.61419382 0.01981270 Corrected Total 32 1.11801818 Source Pr > F Model <.0001 Error Corrected Total R-Square Coeff Var Root MSE prop Mean 0.450641 33.15490 0.140758 0.424545 Source DF Type I SS Mean Square F Value time 1 0.50382436 0.50382436 25.43 Source Pr > F time <.0001 Source DF Type II SS Mean Square F Value time 1 0.50382436 0.50382436 25.43 Source Pr > F time <.0001 Standard Parameter Estimate Error t Value Pr > |t| Intercept 0.1300314881 0.06333516 2.05 0.0486 time 0.0205474860 0.00407466 5.04 <.0001 Parameter 95% Confidence Limits Intercept 0.0008585687 0.2592044074 time 0.0122371696 0.0288578025 plot of prop vs time (data with time <= 28) 18 08:51 Friday, February 8, 2013 The GLM Procedure Observation Observed Predicted Residual 1 0.07000000 0.17112646 -0.10112646 2 0.10000000 0.23276892 -0.13276892 3 0.11000000 0.27386389 -0.16386389 4 0.12000000 0.35605383 -0.23605383 5 0.15000000 0.37660132 -0.22660132 6 0.19000000 0.35605383 -0.16605383 7 0.28000000 0.31495886 -0.03495886 8 0.31000000 0.31495886 -0.00495886 9 0.30000000 0.45879126 -0.15879126 10 0.34000000 0.47933875 -0.13933875 11 0.35000000 0.37660132 -0.02660132 12 0.39000000 0.41769629 -0.02769629 13 0.38000000 0.60262367 -0.22262367 14 0.42000000 0.56152869 -0.14152869 15 0.40000000 0.33550635 0.06449365 16 0.41000000 0.31495886 0.09504114 17 0.42000000 0.27386389 0.14613611 18 0.48000000 0.35605383 0.12394617 19 0.48000000 0.39714881 0.08285119 20 0.47000000 0.41769629 0.05230371 21 0.49000000 0.45879126 0.03120874 22 0.50000000 0.41769629 0.08230371 23 0.51000000 0.47933875 0.03066125 24 0.53000000 0.58207618 -0.05207618 25 0.58000000 0.39714881 0.18285119 26 0.59000000 0.39714881 0.19285119 27 0.65000000 0.37660132 0.27339868 28 0.60000000 0.52043372 0.07956628 29 0.60000000 0.60262367 -0.00262367 30 0.69000000 0.56152869 0.12847131 31 0.70000000 0.68481361 0.01518639 32 0.70000000 0.70536110 -0.00536110 33 0.70000000 0.43824378 0.26175622 95% Confidence Limits for Observation Mean Predicted Value 1 0.05709852 0.28515440 2 0.14050093 0.32503691 3 0.19505186 0.35267593 4 0.29891612 0.41319155 5 0.32299749 0.43020516 6 0.29891612 0.41319155 7 0.24816229 0.38175544 8 0.24816229 0.38175544 9 0.40693370 0.51064883 10 0.42467182 0.53400568 11 0.32299749 0.43020516 12 0.36764588 0.46774671 13 0.51496155 0.69028578 14 0.48691794 0.63613945 15 0.27390936 0.39710334 plot of prop vs time (data with time <= 28) 19 08:51 Friday, February 8, 2013 The GLM Procedure 95% Confidence Limits for Observation Mean Predicted Value 16 0.24816229 0.38175544 17 0.19505186 0.35267593 18 0.29891612 0.41319155 19 0.34596144 0.44833617 20 0.36764588 0.46774671 21 0.40693370 0.51064883 22 0.36764588 0.46774671 23 0.42467182 0.53400568 24 0.50110308 0.66304929 25 0.34596144 0.44833617 26 0.34596144 0.44833617 27 0.32299749 0.43020516 28 0.45717731 0.58369013 29 0.51496155 0.69028578 30 0.48691794 0.63613945 31 0.56828944 0.80133778 32 0.58127847 0.82944372 33 0.38796392 0.48852364 Sum of Residuals 0.00000000 Sum of Squared Residuals 0.61419382 Sum of Squared Residuals - Error SS -0.00000000 PRESS Statistic 0.68117343 First Order Autocorrelation 0.62661611 Durbin-Watson D 0.61856251 regression of prop on time (data with time <= 28) 20 08:51 Friday, February 8, 2013 Obs time prop yhat clml clmu clpl clpu 1 2 0.07 0.17113 0.05710 0.28515 -0.13777 0.48002 2 5 0.10 0.23277 0.14050 0.32504 -0.06877 0.53431 3 7 0.11 0.27386 0.19505 0.35268 -0.02383 0.57156 4 11 0.12 0.35605 0.29892 0.41319 0.06335 0.64876 5 12 0.15 0.37660 0.32300 0.43021 0.08456 0.66864 6 11 0.19 0.35605 0.29892 0.41319 0.06335 0.64876 7 9 0.28 0.31496 0.24816 0.38176 0.02021 0.60970 8 9 0.31 0.31496 0.24816 0.38176 0.02021 0.60970 9 16 0.30 0.45879 0.40693 0.51065 0.16707 0.75051 10 17 0.34 0.47934 0.42467 0.53401 0.18710 0.77157 11 12 0.35 0.37660 0.32300 0.43021 0.08456 0.66864 12 14 0.39 0.41770 0.36765 0.46775 0.12629 0.70910 13 23 0.38 0.60262 0.51496 0.69029 0.30246 0.90279 14 21 0.42 0.56153 0.48692 0.63614 0.26491 0.85814 15 10 0.40 0.33551 0.27391 0.39710 0.04190 0.62912 16 9 0.41 0.31496 0.24816 0.38176 0.02021 0.60970 17 7 0.42 0.27386 0.19505 0.35268 -0.02383 0.57156 18 11 0.48 0.35605 0.29892 0.41319 0.06335 0.64876 19 13 0.48 0.39715 0.34596 0.44834 0.10554 0.68875 20 14 0.47 0.41770 0.36765 0.46775 0.12629 0.70910 21 16 0.49 0.45879 0.40693 0.51065 0.16707 0.75051 22 14 0.50 0.41770 0.36765 0.46775 0.12629 0.70910 23 17 0.51 0.47934 0.42467 0.53401 0.18710 0.77157 24 22 0.53 0.58208 0.50110 0.66305 0.28380 0.88035 25 13 0.58 0.39715 0.34596 0.44834 0.10554 0.68875 26 13 0.59 0.39715 0.34596 0.44834 0.10554 0.68875 27 12 0.65 0.37660 0.32300 0.43021 0.08456 0.66864 28 19 0.60 0.52043 0.45718 0.58369 0.22647 0.81440 29 23 0.60 0.60262 0.51496 0.69029 0.30246 0.90279 30 21 0.69 0.56153 0.48692 0.63614 0.26491 0.85814 31 27 0.70 0.68481 0.56829 0.80134 0.37499 0.99464 32 28 0.70 0.70536 0.58128 0.82944 0.39262 1.01811 33 15 0.70 0.43824 0.38796 0.48852 0.14680 0.72969 regression of prop on time (data with time <= 28) 21 08:51 Friday, February 8, 2013 Plot of resid*time. Legend: A = 1 obs, B = 2 obs, etc. resid | | 0.3 + | | A | A | | | 0.2 + | B | | | A | A A | 0.1 + A | A A A | A | A | | A A | A 0.0 +--------------------A---------------------------A---------A------ | | A A A | | A | | -0.1 + A | | A | A A | A A | A | -0.2 + | | A A | A | | | -0.3 + | ---+---------+---------+---------+---------+---------+---------+-- 0 5 10 15 20 25 30 time regression of prop on time (data with time <= 28) 22 08:51 Friday, February 8, 2013 The UNIVARIATE Procedure Variable: resid Moments N 33 Sum Weights 33 Mean 0 Sum Observations 0 Std Deviation 0.13854081 Variance 0.01919356 Skewness 0.04779165 Kurtosis -0.6928339 Uncorrected SS 0.61419382 Corrected SS 0.61419382 Coeff Variation . Std Error Mean 0.02411686 Basic Statistical Measures Location Variability Mean 0.00000 Std Deviation 0.13854 Median -0.00262 Variance 0.01919 Mode . Range 0.50945 Interquartile Range 0.21562 Tests for Location: Mu0=0 Test -Statistic- -----p Value------ Student's t t 0 Pr > |t| 1.0000 Sign M -0.5 Pr >= |M| 1.0000 Signed Rank S -0.5 Pr >= |S| 0.9930 Tests for Normality Test --Statistic--- -----p Value------ Shapiro-Wilk W 0.971462 Pr < W 0.5216 Kolmogorov-Smirnov D 0.103781 Pr > D >0.1500 Cramer-von Mises W-Sq 0.037165 Pr > W-Sq >0.2500 Anderson-Darling A-Sq 0.266641 Pr > A-Sq >0.2500 Quantiles (Definition 5) Quantile Estimate 100% Max 0.27339868 99% 0.27339868 95% 0.26175622 90% 0.18285119 75% Q3 0.08285119 50% Median -0.00262367 25% Q1 -0.13276892 10% -0.16605383 5% -0.22660132 1% -0.23605383 0% Min -0.23605383 regression of prop on time (data with time <= 28) 23 08:51 Friday, February 8, 2013 The UNIVARIATE Procedure Variable: resid Extreme Observations ------Lowest------ ------Highest----- Value Obs Value Obs -0.236054 4 0.146136 17 -0.226601 5 0.182851 25 -0.222624 13 0.192851 26 -0.166054 6 0.261756 33 -0.163864 3 0.273399 27 Stem Leaf # Boxplot 2 67 2 | 2 | 1 589 3 | 1 023 3 | 0 56888 5 +-----+ 0 233 3 | + | -0 333100 6 *-----* -0 5 1 | | -1 4430 4 +-----+ -1 766 3 | -2 432 3 | ----+----+----+----+ Multiply Stem.Leaf by 10**-1 Normal Probability Plot 0.275+ * ++* | ++++ | +*+* | *+** | ***** 0.025+ +**+ | ***** | ++*+ | ++*** | ++*** -0.225+ * +*++* +----+----+----+----+----+----+----+----+----+----+ -2 -1 0 +1 +2 regression of prop on time (data with time <= 28) 24 08:51 Friday, February 8, 2013 Plot of nscore*resid. Legend: A = 1 obs, B = 2 obs, etc. | | 2.5 + | | | A 2.0 + | | | A R 1.5 + a | A n | A k | A 1.0 + A f | A o | A r | A 0.5 + B V | A a | A A r | AA i 0.0 + A a | AA b | B l | A e -0.5 + A A | A r | A e | A s -1.0 + A i | A d | A | A -1.5 + | A | | -2.0 + | A | | -2.5 + | --+---------+---------+---------+---------+---------+---------+-- -0.3 -0.2 -0.1 0.0 0.1 0.2 0.3 resid means model (data with time <= 28) 25 08:51 Friday, February 8, 2013 The GLM Procedure Class Level Information Class Levels Values time 18 2 5 7 9 10 11 12 13 14 15 16 17 19 21 22 23 27 28 Number of Observations Read 33 Number of Observations Used 33 means model (data with time <= 28) 26 08:51 Friday, February 8, 2013 The GLM Procedure Dependent Variable: prop Sum of Source DF Squares Mean Square F Value Model 17 0.75415152 0.04436185 1.83 Error 15 0.36386667 0.02425778 Corrected Total 32 1.11801818 Source Pr > F Model 0.1230 Error Corrected Total R-Square Coeff Var Root MSE prop Mean 0.674543 36.68608 0.155749 0.424545 Source DF Type I SS Mean Square F Value time 17 0.75415152 0.04436185 1.83 Source Pr > F time 0.1230 Source DF Type III SS Mean Square F Value time 17 0.75415152 0.04436185 1.83 Source Pr > F time 0.1230 test for lack of fit (data with time <= 28) 27 08:51 Friday, February 8, 2013 Obs mslof dflof mswithin dfwithin fcalc pvalue 1 0.015645 16 0.024258 15 0.64497 0.80323