Case Processing Summary. Cases Valid Missing Total N Percent N Percent N Percent % 0 0.0% % % 0 0.0%

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1 GET FILE='C:\Users\acantrell\Desktop\demo5.sav'. DATASET NAME DataSet1 WINDOW=FRONT. EXAMINE VARIABLES=PASSYDSPG RUSHYDSPG /PLOT BOXPLOT HISTOGRAM /COMPARE GROUPS /STATISTICS DESCRIPTIVES /CINTERVAL 95 /MISSING LISTWISE /NOTOTAL. Explore Case Processing Summary Passing Yards Per Game Cases Valid Missing Total N Percent N Percent N Percent 75 1.%.% 75 1.% 75 1.%.% 75 1.% Passing Yards Per Game Descriptives Mean 5% Trimmed Mean Median Variance Std. Deviation Minimum Maximum Range Interquartile Range Skewness Kurtosis Mean 5% Trimmed Mean Median Lower Bound Upper Bound Lower Bound Upper Bound Statistic Std. Error Page 1

2 Descriptives Variance Std. Deviation Minimum Maximum Range Interquartile Range Skewness Kurtosis Statistic Std. Error Passing Yards Per Game Histogram 12 Mean = Std. Dev. = N = Frequency Passing Yards Per Game Page 2

3 Passing Yards Per Game Page 3

4 Histogram 2 Mean = Std. Dev. = N = Frequency Page 4

5 FREQUENCIES VARIABLES=rushcat passcat /ORDER=ANALYSIS. Frequencies Statistics N Valid Missing Frequency Table Page 5

6 Rushing Categories Valid 1:Under 162 2:162 or More Total Frequency Percent Valid Percent Passing Categories Valid 1:Under 225 2:[225,275) 3:275 or More Total Frequency Percent Valid Percent * Chart Builder. GGRAPH /GRAPHDATASET NAME="graphdataset" VARIABLES=RUSHYDSPG PASSYDSPG MISSING=LISTWISE REPORTMISSIN /GRAPHSPEC SOURCE=INLINE. BEGIN GPL SOURCE: s=usersource(id("graphdataset")) DATA: RUSHYDSPG=col(source(s), name("rushydspg")) DATA: PASSYDSPG=col(source(s), name("passydspg")) GUIDE: axis(dim(1), label("")) GUIDE: axis(dim(2), label("passing Yards Per Game")) ELEMENT: point(position(rushydspg*passydspg)) END GPL. GGraph Page 6

7 4 Passing Yards Per Game CORRELATIONS /VARIABLES=PASSYDSPG RUSHYDSPG /PRINT=TWOTAIL NOSIG /STATISTICS DESCRIPTIVES /MISSING=PAIRWISE. Correlations Descriptive Statistics Passing Yards Per Game Mean Std. Deviation N Page 7

8 Correlations Passing Yards Per Game **. Pearson Correlation Sig. (2-tailed) N Pearson Correlation Sig. (2-tailed) N ** ** NONPAR CORR /VARIABLES=PASSYDSPG RUSHYDSPG /PRINT=SPEARMAN TWOTAIL NOSIG /MISSING=PAIRWISE. Nonparametric Correlations Correlations Spearman's rho Passing Yards Per Game Correlation Coefficient Sig. (2-tailed) N Correlation Coefficient Sig. (2-tailed) N ** ** **. REGRESSION /MISSING LISTWISE /STATISTICS COEFF OUTS CI(95) R ANOVA /CRITERIA=PIN(.5) POUT(.1) /NOORIGIN /DEPENDENT PASSYDSPG /METHOD=ENTER RUSHYDSPG /SCATTERPLOT=(*ZRESID,*ZPRED) /RESIDUALS HISTOGRAM(ZRESID) NORMPROB(ZRESID). Page 8

9 Regression Variables Entered/Removed a Model 1 Method. Enter b a. b. Model Summary b Model R R Square a a. b. ANOVA a Model df Mean Square F Sig. 1 Regression b Residual Total a. b. Coefficients a Model 1 (Constant) Unstandardized Coefficients B Std. Error Beta t Sig Coefficients a Model 1 (Constant) 95.% Confidence Interval for B Lower Bound Upper Bound Page 9

10 a. Residuals Statistics a Predicted Value Residual Std. Predicted Value Std. Residual Minimum Maximum Mean Std. Deviation N a. Charts Histogram Dependent Variable: Passing Yards Per Game 12 Mean = -1.58E-16 Std. Dev. =.993 N = 75 1 Frequency Regression Standardized Residual Page 1

11 Normal P-P Plot of Regression Standardized Residual 1. Dependent Variable: Passing Yards Per Game.8 Expected Cum Prob Observed Cum Prob Page 11

12 Scatterplot Dependent Variable: Passing Yards Per Game 3 Regression Standardized Residual Regression Standardized Predicted Value 2 CROSSTABS /TABLES=passcat BY rushcat /FORMAT=AVALUE TABLES /STATISTICS=CHISQ /CELLS=COUNT ROW /COUNT ROUND CELL /METHOD=EXACT TIMER(5). Crosstabs Page 12

13 Case Processing Summary Cases Valid Missing Total N Percent N Percent N Percent 75 1.%.% 75 1.% Passing Categories * Rushing Categories Crosstabulation Passing Categories 1:Under 225 Count 2:[225,275) Count 3:275 or More Count Rushing Categories 1:Under 162 2:162 or More % 61.8% % 42.9% % 35.% Total Count % 49.3% Passing Categories * Rushing Categories Crosstabulation Passing Categories 1:Under 225 Count 2:[225,275) Count 3:275 or More Count Total 34 1.% 21 1.% 2 1.% Total Count 75 1.% Page 13

14 Chi-Square Tests Pearson Chi-Square Likelihood Ratio Fisher's Exact Test N of Valid Cases Value df 4.98 a b Chi-Square Tests Pearson Chi-Square Likelihood Ratio Fisher's Exact Test.16 N of Valid Cases a. b. * Chart Builder. GGRAPH /GRAPHDATASET NAME="graphdataset" VARIABLES=rushcat PASSYDSPG MISSING=LISTWISE REPORTMISSING= /GRAPHSPEC SOURCE=INLINE. BEGIN GPL SOURCE: s=usersource(id("graphdataset")) DATA: rushcat=col(source(s), name("rushcat"), unit.category()) DATA: PASSYDSPG=col(source(s), name("passydspg")) DATA: id=col(source(s), name("$casenum"), unit.category()) GUIDE: axis(dim(1), label("rushing Categories")) GUIDE: axis(dim(2), label("passing Yards Per Game")) SCALE: cat(dim(1), include("1", "2")) SCALE: linear(dim(2), include()) ELEMENT: schema(position(bin.quantile.letter(rushcat*passydspg)), label(id)) END GPL. GGraph Page 14

15 4 Passing Yards Per Game :Under 162 Rushing Categories 2:162 or More T-TEST GROUPS=rushcat(1 2) /MISSING=ANALYSIS /VARIABLES=PASSYDSPG /CRITERIA=CI(.95). T-Test Group Statistics Rushing Categories N Mean Std. Deviation Passing Yards Per Game 1:Under :162 or More Page 15

16 Independent Samples Test. F Sig. t Passing Yards Per Game Independent Samples Test t-test for Equality of Means df Sig. (2-tailed) Passing Yards Per Game Independent Samples Test t-test for Equality of Means Lower Upper Passing Yards Per Game * Chart Builder. GGRAPH /GRAPHDATASET NAME="graphdataset" VARIABLES=passcat RUSHYDSPG MISSING=LISTWISE REPORTMISSING= /GRAPHSPEC SOURCE=INLINE. BEGIN GPL SOURCE: s=usersource(id("graphdataset")) DATA: passcat=col(source(s), name("passcat"), unit.category()) DATA: RUSHYDSPG=col(source(s), name("rushydspg")) DATA: id=col(source(s), name("$casenum"), unit.category()) GUIDE: axis(dim(1), label("passing Categories")) GUIDE: axis(dim(2), label("")) SCALE: cat(dim(1), include("1", "2", "3")) SCALE: linear(dim(2), include()) Page 16

17 ELEMENT: schema(position(bin.quantile.letter(passcat*rushydspg)), label(id)) END GPL. GGraph :Under 225 2:[225,275) 3:275 or More Passing Categories ONEWAY RUSHYDSPG BY passcat /STATISTICS DESCRIPTIVES HOMOGENEITY /PLOT MEANS /MISSING ANALYSIS /POSTHOC=BONFERRONI ALPHA(.5). Oneway Page 17

18 Descriptives 1:Under 225 2:[225,275) 3:275 or More Total N Mean Std. Deviation Std. Error Lower Bound Upper Bound Descriptives 1:Under 225 2:[225,275) 3:275 or More Total Minimum Maximum Test of Homogeneity of Variances df1 df2 Sig ANOVA Between Groups Within Groups Total df Mean Square F Sig Post Hoc Tests Page 18

19 Dependent Variable: Bonferroni Multiple Comparisons... (I) Passing Categories (J) Passing Categories Std. Error Sig. Lower Bound 1:Under 225 2:[225,275) :275 or More 2:[225,275) 1:Under 225 3:275 or More 3:275 or More 1:Under 225 2:[225,275) Dependent Variable: Bonferroni Multiple Comparisons * * (I) Passing Categories (J) Passing Categories 1:Under 225 2:[225,275) 3:275 or More 2:[225,275) 1:Under 225 3:275 or More 3:275 or More 1:Under 225 2:[225,275) Upper Bound *. Means Plots Page 19

20 2 19 Mean of :Under 225 2:[225,275) Passing Categories 3:275 or More Page 2