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ch 11 stat homework

# ch 11 stat homework - Alicia Deal CJ 742 Ch 11 Logistic...

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Alicia Deal CJ 742 03-08-06 Ch 11: Logistic Regression Conduct a Forward: LR logistic regression analysis with the following variables: IV- age, educ, hrs1, life, sibs, rincom91 DV-satjob2 1.) Develop a research question for the following scenario. Can job satisfaction (very satisfied, not very satisfied) be reliably predicted from the knowledge of the age of respondent (age), education level(edu), number of hours worked last week(hrs1), number of siblings(sibs), income (rincom91), & perception of life outlook affect job satisfaction(life)? 2.)Conduct a preliminary Linear Regression to identify outliers and evaluate multicollineartiy among the five continuous variables. Complete the following: a. Using the Chi-Square table, identify the critical value at p<.001 for identifying outliers. Use Explore to determine if there are outliers. Which cases should be eliminated? Df=5 (5 IV) critical value: 20.515 The outliers are: Extreme Values 50 54.14232 406 49.58764 121 39.09005 689 28.98076 1129 25.55969 935 .16024 561 .22159 649 .22602 734 .27722 266 .33281 1 2 3 4 5 1 2 3 4 5 Highest Lowest Mahalanobis Distance Case Number Value Thus case #s 50, 406, 121, 689, & 1129 can be eliminated. Also cases 192 (value=21.9667), 632 (22.70089), and 268 ( 23.16607)can also be deleted since they are greater than 20.515. b. Is multicollinearity a problem among the five continuous variables? No. none of the values are .1 or below therefore there is no problem with multicollinearity. Descriptive Statistics 1.56 .496 850 40.53 11.975 850 13.87 2.786 850 42.15 14.467 850 13.35 5.361 850 3.39 2.686 850 Job Satisfaction Age of Respondent Highest Year of School Completed Number of Hours Worked Last Week RESPONDENTS INCOME NUMBER OF BROTHERS AND SISTERS Mean Std. Deviation N 1

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Alicia Deal CJ 742 03-08-06 Ch 11: Logistic Regression Variables Entered/Removed b NUMBER OF BROTHER S AND SISTERS, Number of Hours Worked Last Week, Age of Responde nt, Highest Year of School Complete d, RESPOND ENTS INCOME a . Enter Model 1 Variables Entered Variables Removed Method All requested variables entered. a. Dependent Variable: Job Satisfaction b. Model Summary b .148 a .022 .016 .492 Model 1 R R Square Adjusted R Square Std. Error of the Estimate Predictors: (Constant), NUMBER OF BROTHERS AND SISTERS, Number of Hours Worked Last Week, Age of Respondent, Highest Year of School Completed, RESPONDENTS INCOME a. Dependent Variable: Job Satisfaction b. ANOVA b 4.595 5 .919 3.791 .002 a 204.600 844 .242 209.195 849 Regression Residual Total Model 1 Sum of Squares df Mean Square F Sig. Predictors: (Constant), NUMBER OF BROTHERS AND SISTERS, Number of Hours Worked Last Week, Age of Respondent, Highest Year of School Completed, RESPONDENTS INCOME a. Dependent Variable: Job Satisfaction b. 2
Alicia Deal CJ 742 03-08-06 Ch 11: Logistic Regression Coefficients a 1.921 .120 16.006 .000 -.004 .001 -.096 -2.671 .008 .896 1.116 -.007 .007 -.038 -1.038 .300 .849 1.178 .000 .001 .011 .291 .771 .769 1.301 -.008 .004 -.086 -2.049 .041 .661 1.512 -.004 .006 -.020 -.576 .565 .947 1.055 (Constant) Age of Respondent Highest Year of School Completed Number of Hours Worked Last Week RESPONDENTS INCOME NUMBER OF BROTHERS AND SISTERS Model 1 B Std. Error Unstandardized Coefficients Beta Standardized Coefficients t Sig. Tolerance VIF Collinearity Statistics Dependent Variable: Job Satisfaction a.

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