GGraph. Males Only. Premium. Experience. GGraph. Gender. 1 0: R 2 Linear = : R 2 Linear = Page 1

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1 GGraph 9 Gender : R Linear =.43 : R Linear = Males Only GGraph Page

2 R Linear =.43 R Loess Explore Case Processing Summary Cases Valid Missing Total N Percent N Percent N Percent 9.%.% 9.% 9.%.% 9.% Page

3 Mean 5% Trimmed Mean Median Variance Std. Deviation Minimum Maximum Range Interquartile Range Skewness Kurtosis Mean 5% Trimmed Mean Median Variance Std. Deviation Minimum Maximum Range Interquartile Range Skewness Kurtosis Descriptives Lower Bound Upper Bound Lower Bound Upper Bound Statistic Std. Error Tests of Normality Kolmogorov-Smirnov a Shapiro-Wilk Statistic df Sig. Statistic df Sig * * *. a. Page 3

4 Histogram 6 Mean =.9 Std. Dev. = 5.79 N = Frequency Page 4

5 Normal Q-Q Plot of Expected Normal Observed Value Page 5

6 5 5 Page 6

7 Histogram 6 Mean = 69.3 Std. Dev. =.939 N = Frequency Page 7

8 Normal Q-Q Plot of 3 Expected Normal Observed Value Page 8

9 Correlations Descriptive Statistics Mean Std. Deviation N **. Correlations Pearson Correlation Sig. (-tailed) N Pearson Correlation Sig. (-tailed) N ** **. 9 9 Page 9

10 Nonparametric Correlations Correlations Spearman's rho Correlation Coefficient Sig. (-tailed) N Correlation Coefficient Sig. (-tailed) N ** ** **. Regression Variables Entered/Removed a Model Method b. Enter a. b. Model Summary b Model R R Square.656 a a. b. ANOVA a Model df Mean Square F Sig. Regression b Residual Total a. b. Page

11 Coefficients a Model (Constant) Unstandardized Coefficients B Std. Error Beta t Sig Coefficients a Model (Constant) 95.% Confidence Interval for B Lower Bound Upper Bound a. Residuals Statistics a Predicted Value Residual Std. Predicted Value Std. Residual Minimum Maximum Mean Std. Deviation N a. Charts Page

12 Histogram Dependent Variable: Mean =.4E-5 Std. Dev. =.98 N = 9 6 Frequency Regression Standardized Residual Page

13 Normal P-P Plot of Regression Standardized Residual. Dependent Variable:.8 Expected Cum Prob Observed Cum Prob Page 3

14 Scatterplot Dependent Variable: Regression Standardized Residual Regression Standardized Predicted Value Females Only GGraph Page 4

15 : R Linear =.769 R Loess Explore Case Processing Summary Cases Valid Missing Total N Percent N Percent N Percent.%.%.%.%.%.% Page 5

16 Mean 5% Trimmed Mean Median Variance Std. Deviation Minimum Maximum Range Interquartile Range Skewness Kurtosis Mean 5% Trimmed Mean Median Variance Std. Deviation Minimum Maximum Range Interquartile Range Skewness Kurtosis Descriptives Lower Bound Upper Bound Lower Bound Upper Bound Statistic Std. Error Tests of Normality Kolmogorov-Smirnov a Shapiro-Wilk Statistic df Sig. Statistic df Sig... * *. a. Page 6

17 Histogram 4 Mean = 8.43 Std. Dev. = 4.78 N = 3 Frequency 5 5 Page 7

18 Normal Q-Q Plot of Expected Normal Observed Value 5 Page 8

19 5 5 Page 9

20 Histogram 6 Mean = 54.6 Std. Dev. = N = 5 4 Frequency Page

21 Normal Q-Q Plot of 3 Expected Normal Observed Value Page

22 Correlations Descriptive Statistics Mean Std. Deviation N **. Correlations Pearson Correlation Sig. (-tailed) N Pearson Correlation Sig. (-tailed) N ** **. Page

23 Nonparametric Correlations Correlations Spearman's rho Correlation Coefficient Sig. (-tailed) N Correlation Coefficient Sig. (-tailed) N ** **... **. Regression Variables Entered/Removed a Model Method b. Enter a. b. Model Summary b Model R R Square.877 a a. b. ANOVA a Model df Mean Square F Sig. Regression b Residual Total a. b. Page 3

24 Coefficients a Model (Constant) Unstandardized Coefficients B Std. Error Beta t Sig Coefficients a Model (Constant) 95.% Confidence Interval for B Lower Bound Upper Bound a. Residuals Statistics a Predicted Value Residual Std. Predicted Value Std. Residual Minimum Maximum Mean Std. Deviation N a. Charts Page 4

25 Histogram Dependent Variable: 6 Mean = 5.97E-6 Std. Dev. =.975 N = 5 Frequency Regression Standardized Residual Page 5

26 Normal P-P Plot of Regression Standardized Residual. Dependent Variable:.8 Expected Cum Prob Observed Cum Prob Page 6

27 Scatterplot Dependent Variable: Regression Standardized Residual Regression Standardized Predicted Value Page 7