- CSY3062 Cyber Security and Applied Cryptography Assessment Brief 2026
- COM4006 Introduction to Academic Skills and Professional Development Assessment Brief 2026
- DSM030 Statistics and Statistical Data Mining Assignment Brief 2026 | UOL
- Unit 5 Understand the Role of the Social Care Worker Assessment Question 2026
- Leading and Managing Change Assessment 1 2026 | University of Greenwich
- 6F7V0020 Biodiversity, Natural Capital and Ecosystem Services Summative In-Course Assessment Briefing 2026
- BTEC HND Level 5 Unit 4 The Hospitality Business Toolkit Assignment Brief 2026
- BTEC Level 3 Unit 2 Working in Health and Social Care Assigment 2026
- BTEC Level 1-2 Unit 20 Building a Personal Computer Internal Assessment 2026
- BTEC Level 2 Unit 11 Computer Networks Assignment Brief 2026 | Pearson
- BTEC Level 4/5 Unit 06 Construction Information Assignment Brief 2026
- BA601 Management Control Qualifi Level 6 Assessment Brief 2026 | UEL
- MLA603 Maritime Regulation and Governance Assessment Brief 2026 | MLA College
- Introduction to Organizational Behavior Assessment Critical Essay | NTU
- ILM Level 4 Unit 416 Solving Problems by Making Effective Decisions in the Workplace Assignment
- NURS08059 Resilience in Healthcare Assignment Guide 2026 | UWS
- ILM Level 4 Unit 409 Managing Personal Development Assignment 2026
- BTEC Level 3 Unit 1 Axborot Texnologiyalari Tizimlari Assignment Brief 2026
- NI523 Approaches to Nursing Adults with Long Term Conditions Assignment Workbook 2026 | UOB
- GBEN5004 Social Entrepreneurship Assignment Brief 2026 | Oxford Brookes University
Explain why the variables ‘household income’ and ‘abortion rate’ are potential confounding variables when examining the correlation: Applied Quantitative Methods Assignment, MMU, UK
| University | Manchester Metropolitan University (MMU) |
| Subject | Applied Quantitative Methods |
Question 2.
The second question refers to the study looking at the correlation between religiosity and the teenage birth rate which was used in a seminar exercise. See the separate sheet summarising the research.
- Explain why the variables ‘household income’ and ‘abortion rate’ are potential confounding variables when examining the correlation between religiosity and teen birth rate.
- Explain briefly what is meant by ‘controlling for’ income and abortion rate via partial correlation and the purpose of this procedure.
- Explain what the results of the partial correlations reveal about the roles of income and abortion rate as potential confounding variables by commenting on the correlation coefficients reported. If the correlation between religiosity and birth rate was the result of one of these confounds, what would you expect to see?
Do You Need Assignment of This Question
Answer



