Harris Bank Case Study
Essay by kimmeipeng • May 24, 2017 • Case Study • 5,088 Words (21 Pages) • 1,318 Views
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Report Contents
2.0 Introduction 3
3.0 Methodology 3
4.0 Analysis on Random Sample Data (T = 80) 3
4.1 Dependent Variable and Independent Variables 3
4.2 Relationships between variables 3
4.2.1 Relationship between Salary and Gender 3
4.2.2 Relationship between Salary and Bank Experiences 4
4.2.3 Relationship between Salary and Age 4
4.2.4 Relationship between Salary and Education 5
4.2.5 Relationship between Salary and Work Experience 5
4.4 Multiple Regression Model 5
4.5 Multiple Regression Equation 6
4.6 Multiple Regression Analysis Result and Elaboration 6
4.7 Two-Tailed Hypothesis Test 6
4.8 Final Multiple Regression Model 8
4.9 Final Multiple Regression Equation 8
4.10 Goodness of Fit 8
5.0 Analysis on Staff Census Data (T = 474) 9
5.1 Final Multiple Regression Model 9
5.2 Final Multiple Regression Equation 9
5.3 One-Tailed Hypothesis Test 9
6.0 Comparisons between Sample Data and Staff Census Data 10
7.0 Limitations of Multiple Regression Analysis 10
7.1 Outliers 10
7.2 Sample size limit to Harris Bank 11
7.3 Multiple linear relationship doesn’t show causal relationship 11
7.4 Other variables are not taken into consideration 11
8.0 Harris Bank Gender Discrimination Discussion 11
8.1 Discriminatory Hiring 11
8.2 Unfair Remuneration Practices 11
9.0 Conclusion 12
10.0 Appendices
10.1 Multiple Regression Analysis (T = 80) 13
10.2 Multiple Regression Analysis (T = 474) 13
2.0 Introduction
There have been complaints lodged to Eastpac Bank against one of its subsidiary banks - Harris Savings and Loan, stating that Harris Bank was practicing unfair remuneration practices. Harris Bank was accused of discriminatory hiring and compensation policies with respect to women and minorities.
3.0 Methodology
The purpose of this report is to investigate if there is discriminatory hiring in Harris Bank and/or unfair compensation policies with respect to women and minorities in relation to salary of respective employees via multiple regression testing, correlation coefficient, correlation of determination and hypothesis testing.
4.0 Analysis on Random Sample Data (T = 80)
4.1 Dependent Variable and Independent Variables
In our analysis, we have identified 1 dependent variable and 5 independent variables as shown below.
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