REGRESSION AND CORRELATION ANALYSIS ON INCOME AND EXPENDITURE (A CASE STUDY OF GLADKUNS NIG. LTD. IGANDO, LAGOS.)

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ABSTRACT
This project intends to carry out the relationship between income and expenditure of GLADKUNS NIG. LTD. from 2005-2014.
The analysis reveals the aim and objective which is to examine the relationship between independent variable (X) and dependent variable (Y)
Regression and correlation analysis is the major tool used to analyze all the data used in this project work. The data was collected from GLADKUNS NIG. LTD. IGANDO LAGOS.
The analysis reveal the aim and objective which is to examine the relationship between independent variable (X) and dependent variable (Y),i.e the relationship between the income and the expenditure and also predict for both their income and expenditure in years to come and It also states ways of improving the company services by applying different technique that has been stated in the recommendation.


TABLE OF CONTENT

Title Page
Abstract
Certification
Dedication
Acknowledgement
Table of Content
CHAPTER ONE
1.0     Introduction
1.1     The Historical background of the case study
1.2     Aims and Objective of the study
1.3     Scope of the research work
1.4     Purpose of the study
1.5     Limitations of the study
1.6     Significance of the study
CHAPTER TWO
2.0     Literature review
2.1     Scatter diagram
2.2     Uses of scatter diagram
2.3     Line of best fit
2.4     Assumptions of linear regression
2.5     The interpretation of “r” in correlation

CHAPTER THREE
3.0     Research Methodology
3.1     Regression analysis
3.2     Scatter diagram
3.3     The simple regression model
3.4     Correlation analysis
3.5     Correlation co-efficient
3.6     Estimation of regression co-efficient
3.7     Co-efficient of determination
3.8     Testing of the significance of the model
3.9     Pitfalls and limitation associated with
regression and correlation analysis
CHAPTER FOUR
4.0     Presentation of the original data
4.1     Regression analysis
4.2     Prediction
4.3     Standard error of estimate
4.4     Hypothesis testing of regression
4.5     Analysis of variance for testing the
          Significant of regression
4.6     Karl pearson’s product moment
          Correlation co-efficient
4.7     Forecasting and prediction for income
4.8     Forecasting and prediction for expenditure

CHAPTER FIVE
5.0     Summary
5.1     Conclusion
5.2     Recommendation
          References


CHAPTER ONE
INTRODUCTION
1.0 BACKGROUND OF THE STUDY
The Bureau’s studies of family living conditions rank among its oldest data-collecting functions. The first nationwide expenditure survey was conducted during 1888-1891, to study worker’s spending patterns as elements of production costs. With special reference to competition in foreign trade, the survey emphasized he worker’s role as a producer rather than as a consumer. In response to rapid price changes prior to the turn of the 20th century, a second survey was administered in 1901. The resulting data provided the weight for an index of prices of food purchased by workers that was used until world war 1, as a deflator for workers income and expenditure. The third survey conducted during 1917-1919, provided weights for computing a cost of living index (CPI). The bureau conducted its next major survey, covering only urban wage earners and clerical workers, dining 1934-1936, primarily to revise CPI weights.
During the Great Depression of the 1930, the use of consumer expenditure surveys extended from the study of the welfare of selected groups to move general economic analysis. Concurrent with its 1934-1936 investigation, the Bureau cooperated with four other federal agencies in a fifth survey, the 1935-1936 study of consumer purchases, which presented consumption estimates for both urban and rural segments of the population.
A sixth survey, in 1950, covered only urban consumer this survey was an abbreviated  version of the 1935-1936 study. A seventh survey, the 1960-1961 survey of consumer Expenditure, once again included both urban and rural families and provided the basis for revising the CPI weights, while supplying material for broader economic, social and market analysis.
The next major survey to collect information on expenditure of house holder in the united states was conducted in 1972-1973. That survey, while providing continuity with the...

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