GGraph 9 Gender : R Linear =.43 : R Linear =.769 8 7 6 5 4 3 5 5 Males Only GGraph Page
R Linear =.43 R Loess 9 8 7 6 5 4 5 5 Explore Case Processing Summary Cases Valid Missing Total N Percent N Percent N Percent 9.%.% 9.% 9.%.% 9.% Page
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.9.75 8.69 3..94. 33.55 5.79 9 9 -.69.434 -.4.845 69.3.7 64.49 73.58 69. 68. 4.534.939 45 9 47 9.7.434 -.58.845 Tests of Normality Kolmogorov-Smirnov a Shapiro-Wilk Statistic df Sig. Statistic df Sig..8 9. *.954 9.37.97 9. *.984 9.93 *. a. Page 3
Histogram 6 Mean =.9 Std. Dev. = 5.79 N = 9 5 4 Frequency 3 5 5 Page 4
Normal Q-Q Plot of Expected Normal - - -5 5 5 5 Observed Value Page 5
5 5 Page 6
Histogram 6 Mean = 69.3 Std. Dev. =.939 N = 9 5 4 Frequency 3 4 5 6 7 8 9 Page 7
Normal Q-Q Plot of 3 Expected Normal - - -3 4 5 6 7 8 9 Observed Value Page 8
9 8 7 6 5 4 Correlations Descriptive Statistics Mean Std. Deviation N.9 5.79 9 69.3.939 9 **. Correlations Pearson Correlation Sig. (-tailed) N Pearson Correlation Sig. (-tailed) N -.656 **. 9 9 -.656 **. 9 9 Page 9
Nonparametric Correlations Correlations Spearman's rho Correlation Coefficient Sig. (-tailed) N Correlation Coefficient Sig. (-tailed) N. -.63 **.. 9 9 -.63 **... 9 9 **. Regression Variables Entered/Removed a Model Method b. Enter a. b. Model Summary b Model R R Square.656 a.43.49 9.8 a. b. ANOVA a Model df Mean Square F Sig. Regression 75.6 75.6.35. b Residual 75.74 7 84.85 Total 399.966 8 a. b. Page
Coefficients a Model (Constant) Unstandardized Coefficients B Std. Error Beta t Sig. 83.764 3.683.74. -.35.3 -.656-4.5. Coefficients a Model (Constant) 95.% Confidence Interval for B Lower Bound Upper Bound 76.6 9.3 -.967 -.737 a. Residuals Statistics a Predicted Value Residual Std. Predicted Value Std. Residual Minimum Maximum Mean Std. Deviation N 56.73 8.4 69.3 7.87 9-3.839 3.89. 9.5 9 -.57.79.. 9 -.57.54..98 9 a. Charts Page
Histogram Dependent Variable: Mean =.4E-5 Std. Dev. =.98 N = 9 6 Frequency 4 - - Regression Standardized Residual Page
Normal P-P Plot of Regression Standardized Residual. Dependent Variable:.8 Expected Cum Prob.6.4.....4.6.8. Observed Cum Prob Page 3
Scatterplot Dependent Variable: Regression Standardized Residual - - - - Regression Standardized Predicted Value Females Only GGraph Page 4
: R Linear =.769 R Loess 9 8 7 6 5 4 3 5 5 Explore Case Processing Summary Cases Valid Missing Total N Percent N Percent N Percent.%.%.%.%.%.% Page 5
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 8.43.43 6.5.6 8.4 9..857 4.78 6 5 9 -..5 -.8.97 54.6 3.369 47.59 6.65 53.8 5. 38.348 5.439 36 88 5 9.956.5..97 Tests of Normality Kolmogorov-Smirnov a Shapiro-Wilk Statistic df Sig. Statistic df Sig... *.947.96.83.66.896.9 *. a. Page 6
Histogram 4 Mean = 8.43 Std. Dev. = 4.78 N = 3 Frequency 5 5 Page 7
Normal Q-Q Plot of Expected Normal - - 5 Observed Value 5 Page 8
5 5 Page 9
Histogram 6 Mean = 54.6 Std. Dev. = 5.439 N = 5 4 Frequency 3 4 5 6 7 8 9 Page
Normal Q-Q Plot of 3 Expected Normal - - 4 6 8 Observed Value Page
9 47 37 8 7 6 5 4 3 Correlations Descriptive Statistics Mean Std. Deviation N 8.43 4.78 54.6 5.439 **. Correlations Pearson Correlation Sig. (-tailed) N Pearson Correlation Sig. (-tailed) N -.877 **. -.877 **. Page
Nonparametric Correlations Correlations Spearman's rho Correlation Coefficient Sig. (-tailed) N Correlation Coefficient Sig. (-tailed) N. -.867 **.. -.867 **... **. Regression Variables Entered/Removed a Model Method b. Enter a. b. Model Summary b Model R R Square.877 a.769.757 7.6 a. b. ANOVA a Model df Mean Square F Sig. Regression 3666.64 3666.64 63.7. b Residual.888 9 57.94 Total 4766.95 a. b. Page 3
Coefficients a Model (Constant) Unstandardized Coefficients B Std. Error Beta t Sig. 78.488 3.43.884. -.83.356 -.877-7.954. Coefficients a Model (Constant) 95.% Confidence Interval for B Lower Bound Upper Bound 7.39 85.666-3.577 -.87 a. Residuals Statistics a Predicted Value Residual Std. Predicted Value Std. Residual Minimum Maximum Mean Std. Deviation N 33.8 75.66 54.6 3.539-4.38 4.76. 7.49 -.584.554.. -.88.86..975 a. Charts Page 4
Histogram Dependent Variable: 6 Mean = 5.97E-6 Std. Dev. =.975 N = 5 Frequency 4 3 - - Regression Standardized Residual Page 5
Normal P-P Plot of Regression Standardized Residual. Dependent Variable:.8 Expected Cum Prob.6.4.....4.6.8. Observed Cum Prob Page 6
Scatterplot Dependent Variable: Regression Standardized Residual - - - - Regression Standardized Predicted Value Page 7