(Tiểu luận) the factors affecting the financing decisionsof uk households

UNIVERSITY OF BEDFORDSHIRE FOREIGN TRADE UNIVERSITY SCHOOL OF BUSINESS HO CHI MINH CITY CAMPUS *** *** END-MODULE ASSIGNMENT Module: Using Data to Build Business Practice – S2 Code: BSS004-1.S2 THE FACTORS AFFECTING THE FINANCING DECISIONS OF UK HOUSEHOLDS Student: Le Ngoc Minh Anh Student ID: 2245519124 Cohort: K60BFB FOR EXAMINERS ONLY Grade (in number): ……………… Grade (in words): ……………… Examiner (Signature & Full name) Semester: II Academic year: 2022 - 2023 Head teacher: Vo Thi Thanh Hang Submission date: 7th April 2023 Student’s signature: Ho Chi Minh City, April 2022 ……………… Examiner (Signature & Full name) ……………… UNIVERSITY OF BEDFORDSHIRE FOREIGN TRADE UNIVERSITY SCHOOL OF BUSINESS HO CHI MINH CITY CAMPUS *** *** END-MODULE ASSIGNMENT Module: Using Data to Build Business Practice – S2 Code: BSS004-1.S2 THE FACTORS AFFECTING THE FINANCING DECISIONS OF UK HOUSEHOLDS Student’s full name: Le Ngoc Minh Anh Student ID: 2245519124 Cohort: K60BFB Semester: II Academic year: 2022 - 2023 Lecturer: Nguyen Thi Hoang Anh Ho Chi Minh City, April 2023 STATEMENT OF AUTHORSHIP With the exception of references cited in the final essay, this essay does not contain materials of unknown origin or extracted entirely from previously submitted assignments This assignment has not been submitted for assessment to any university or organization for the purpose of awarding diplomas or other awards Ho Chi Minh City, April 2022 Le Ngoc Minh Anh Table of Contents INTRODUCTION The Original Dataset .4 Overview Characteristics The Cleaned Dataset Overview Characteristics Retained Columns in Cleaned Dataset Significance of Study .7 DATA ANALYSIS Methodology Data Patterns and Trends 10 Interval Estimate 11 Observations 11 Conclusion 11 First Hypothesis Test 11 Introduction 11 Methodology 11 Results 11 Conclusion 12 Second Hypothesis Test .12 Introduction 12 Methodology 12 Results 13 Conclusion 13 First Inference for Means and Proportion for Two Populations Analysis .13 Introduction 13 Methodology 13 Results 14 Conclusion 14 Second Inference for Means and Proportion for Two Populations Analysis 14 Introduction 14 Methodology 14 Results 15 Conclusion 15 ANOVA Test 15 Introduction 15 Methodology 15 Results 15 Conclusion 16 Multiple Regression .17 Research Question .17 Dependent Variable 17 Independent Variables 17 Results 17 Observations and Inferences .18 Conclusion 19 FINDINGS AND RECOMMENDATIONS 20 CONCLUSION .21 REFERENCES 22 Document continues below Discover more Using data to from: build pratice Trường Đại học… 119 documents Go to course Ftubanedited-2 - 15 cuối kì Using data to build pratice None Anh Prism - Tai lieu thuc hanh tieng anh Using data to build pratice None Final assigment Using data to build… Using data to build pratice None CHỦ-ĐỀ-9 -GIAO34 THOA-SÓNG Using data to build pratice Rock Crawling oooo None Using data to build pratice None Quy định viết tiểu INTRODUCTION The Original Dataset luận -… Using data to build pratice Overview The dataset provided by the Bank of England contains data on the income, spending, and financing of UK households in the year 2022 It consists of a total of 6053 observations and 34 variables Missing values are present in 22.6% of the observations and have been handled effectively Table 1: Original Dataset Statistics Dataset Statistic Number of Variables Number of Observations Missing Cells (%) Duplicate Rows (%) Categorical Variables Numerical Variables Value 34 6053 22.6% 0.0% 27 Characteristics High percentage of missing values (over 10 columns) High rates of correlation between variables (over 10 cases) Cases of highly imbalanced column data (2 columns) One case of highly skewed column data (sq01free_1) Presence of zeros in columns None The Cleaned Dataset Overview Table 2: Cleaned Dataset Statistics Dataset Statistic Number of Variables Number of Observations Missing Cells (%) Duplicate Rows (%) Categorical Variables Numerical Variables Sample Attribute Value 21 6053 1.3% 0.0% 18 Variable Industry fgenage_1 Dage Dregion Fgen Qhousing recent_workingstatus Qual Dsocialgrade be2a Description Working status Actual age Age bracket Region Gender acquired house Industry Highest education Social grade Range of individual’s b0e39 income House prices b0e55 expectations change Household income be31g expectations change Likelihood for household income to fall sharply Characteristics Only cases of correlated column data a fgenage_1 with dage b be2a with boe65a c fq01 with fq02 Only one column with 26.3% missing values (