The SAS System 11:03 Monday, November 11,
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1 The SAS System 11:3 Monday, November 11, The CONTENTS Procedure Data Set Name BIO.AUTO_PREMIUMS Observations 5 Member Type DATA Variables 3 Engine V9 Indexes Created Monday, November 11, :4:19 AM Observation Length 24 Last Modified Monday, November 11, :4:19 AM Deleted Observations Protection Compressed NO Data Set Type Sorted NO Label Data Representation Encoding WINDOWS_64 wlatin1 Western (Windows) Engine/Host Dependent Information Data Set Page Size 496 Number of Data Set Pages 1 First Data Page 1 Max Obs per Page 168 Obs in First Data Page 5 Number of Data Set Repairs Filename H:\_Amy Docs\UF\ Fall 213\ \SAS Library\auto_premiums.sas7bdat Release Created 9.31M Host Created X64_7PRO Alphabetic List of Variables and Attributes # Variable Type Len 1 Experience Num 8 2 Gender Num 8 3 Premium Num 8
2 11:3 Monday, November 11, Premium Experience Gender 1
3 11:3 Monday, November 11, Analysis for Males 9 8 Premium Experience Gender
4 Analysis for Males 11:3 Monday, November 11, The MEANS Procedure Variable Minimum Lower Quartile Median Upper Quartile Maximum Mean Std Dev Lower 95% CL for Mean Upper 95% CL for Mean Experience Premium
5 11:3 Monday, November 11, Analysis for Males 25 2 Percent Experience Normal Kernel
6 11:3 Monday, November 11, Analysis for Males 3 2 Percent Premium Normal Kernel
7 11:3 Monday, November 11, Analysis for Males 15 Experience 1 5
8 11:3 Monday, November 11, Analysis for Males 9 8 Premium 7 6 5
9 Analysis for Males 11:3 Monday, November 11, The UNIVARIATE Procedure 2 Q-Q Plot for Experience 15 Experience Normal Quantiles Normal Line Mu=1.897, Sigma=5.79
10 Analysis for Males 11:3 Monday, November 11, The UNIVARIATE Procedure 1 Q-Q Plot for Premium 9 8 Premium Normal Quantiles Normal Line Mu=69.34, Sigma=11.939
11 Analysis for Males 11:3 Monday, November 11, The CORR Procedure 2 Variables: Experience Premium Simple Statistics Variable N Mean Std Dev Median Minimum Maximum Experience Premium Pearson Correlation Coefficients, N = 29 Prob > r under H: Rho= Experience Premium Experience Premium Spearman Correlation Coefficients, N = 29 Prob > r under H: Rho= Experience Premium Experience Premium Pearson Correlation Statistics (Fisher's z Transformation) Variable With Variable N Sample Correlation Fisher's z Bias Adjustment Correlation Estimate 95% Confidence Limits p Value for H:Rho= Experience Premium <.1 Spearman Correlation Statistics (Fisher's z Transformation) Variable With Variable N Sample Correlation Fisher's z Bias Adjustment Correlation Estimate 95% Confidence Limits p Value for H:Rho= Experience Premium
12 Analysis for Males 11:3 Monday, November 11, Number of Observations Read 29 Number of Observations Used 29 Analysis of Variance Source DF Sum of Squares Mean Square F Value Pr > F Model Error Corrected Total Root MSE R-Square.4298 Dependent Mean Adj R-Sq.487 Coeff Var Parameter Estimates Variable DF Parameter Estimate Standard Error t Value Pr > t 95% Confidence Limits Intercept < Experience
13 Analysis for Males 11:3 Monday, November 11, Distribution of Residuals for Premium 25 Normal Kernel 2 Percent Residual
14 Analysis for Males 11:3 Monday, November 11, Residual by Predicted for Premium 1 5 Residual Predicted Value
15 Analysis for Males 11:3 Monday, November 11, RStudent by Predicted for Premium 1 RStudent Predicted Value
16 Analysis for Males 11:3 Monday, November 11, Observed by Predicted for Premium 9 8 Premium Predicted Value
17 Analysis for Males 11:3 Monday, November 11, Cook's D for Premium Cook's D Observation
18 Analysis for Males 11:3 Monday, November 11, Outlier and Leverage Diagnostics for Premium 2 1 RStudent Leverage Outlier Leverage Outlier and Leverage
19 Analysis for Males 11:3 Monday, November 11, Q-Q Plot of Residuals for Premium 1 Residual Quantile
20 Analysis for Males 11:3 Monday, November 11, Residual-Fit Spread Plot for Premium 15 Fit Mean Residual Proportion Less
21 Analysis for Males 11:3 Monday, November 11, Residuals for Premium 1 5 Residual Experience
22 Analysis for Males 11:3 Monday, November 11, Fit Plot for Premium 1 Premium 8 6 Observations Parameters Error DF MSE R-Square Adj R-Square Experience Fit 95% Confidence Limits 95% Prediction Limits
23 11:3 Monday, November 11, Analysis for Females 8 7 Premium Experience Gender 1
24 Analysis for Females 11:3 Monday, November 11, The MEANS Procedure Variable Minimum Lower Quartile Median Upper Quartile Maximum Mean Std Dev Lower 95% CL for Mean Upper 95% CL for Mean Experience Premium
25 11:3 Monday, November 11, Analysis for Females 2 15 Percent Experience Normal Kernel
26 11:3 Monday, November 11, Analysis for Females 3 Percent Premium Normal Kernel
27 11:3 Monday, November 11, Analysis for Females 15 1 Experience 5
28 11:3 Monday, November 11, Analysis for Females 8 7 Premium 6 5 4
29 Analysis for Females 11:3 Monday, November 11, The UNIVARIATE Procedure 2 Q-Q Plot for Experience 15 Experience Normal Quantiles Normal Line Mu=8.4286, Sigma=4.789
30 Analysis for Females 11:3 Monday, November 11, The UNIVARIATE Procedure 9 Q-Q Plot for Premium 8 7 Premium Normal Quantiles Normal Line Mu=54.619, Sigma=15.439
31 Analysis for Females 11:3 Monday, November 11, The CORR Procedure 2 Variables: Experience Premium Simple Statistics Variable N Mean Std Dev Median Minimum Maximum Experience Premium Pearson Correlation Coefficients, N = 21 Prob > r under H: Rho= Experience Premium Experience <.1 Premium <.1 1. Spearman Correlation Coefficients, N = 21 Prob > r under H: Rho= Experience Premium Experience <.1 Premium <.1 1. Pearson Correlation Statistics (Fisher's z Transformation) Variable With Variable N Sample Correlation Fisher's z Bias Adjustment Correlation Estimate 95% Confidence Limits p Value for H:Rho= Experience Premium <.1 Spearman Correlation Statistics (Fisher's z Transformation) Variable With Variable N Sample Correlation Fisher's z Bias Adjustment Correlation Estimate 95% Confidence Limits p Value for H:Rho= Experience Premium <.1
32 Analysis for Females 11:3 Monday, November 11, Number of Observations Read 21 Number of Observations Used 21 Analysis of Variance Source DF Sum of Squares Mean Square F Value Pr > F Model <.1 Error Corrected Total Root MSE R-Square.7691 Dependent Mean Adj R-Sq.7569 Coeff Var Parameter Estimates Variable DF Parameter Estimate Standard Error t Value Pr > t 95% Confidence Limits Intercept < Experience <
33 Analysis for Females 11:3 Monday, November 11, Distribution of Residuals for Premium 3 Normal Kernel 2 Percent Residual
34 Analysis for Females 11:3 Monday, November 11, Residual by Predicted for Premium 1 5 Residual Predicted Value
35 Analysis for Females 11:3 Monday, November 11, RStudent by Predicted for Premium 2 1 RStudent Predicted Value
36 Analysis for Females 11:3 Monday, November 11, Observed by Predicted for Premium 8 7 Premium Predicted Value
37 Analysis for Females 11:3 Monday, November 11, Cook's D for Premium.3.2 Cook's D Observation
38 Analysis for Females 11:3 Monday, November 11, Outlier and Leverage Diagnostics for Premium 2 1 RStudent Leverage Outlier Leverage Outlier and Leverage
39 Analysis for Females 11:3 Monday, November 11, Q-Q Plot of Residuals for Premium 1 5 Residual Quantile
40 Analysis for Females 11:3 Monday, November 11, Residual-Fit Spread Plot for Premium Fit Mean Residual Proportion Less
41 Analysis for Females 11:3 Monday, November 11, Residuals for Premium 1 5 Residual Experience
42 Analysis for Females 11:3 Monday, November 11, Fit Plot for Premium 8 Premium 6 Observations Parameters Error DF MSE R-Square Adj R-Square Experience Fit 95% Confidence Limits 95% Prediction Limits
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