STATISTICAL ANALYSIS OF MOTOR CYCLE REGISTRATION BETWEEN 2003-2011 (A CASE STUDY OF CENTRAL MOTOR REGISTRY UNDER BOARD OF INTERNAL REVENUE ILORIN, KWARA STATE)
This project titled a statistical analysis on private government and commercial motorcycle registration in Kwara State is aimed to determine whether there is significantly difference among the three mode of registration and to predict future registration for the three mode of registration. To achieve these, analysis of variance (ANOVA) and regression analysis were used. The analysis revealed that there is significant difference among the three mode of registration and the future registration is on the increase. It can be concluded that the average registration are significantly different. This suggest that the state government should subsidize the amount imposed on the registration of motorcycle.
TABLE OF CONTENTS
CHAPTER ONE: GENERAL INTRODUCTION
1.3 Aims and Objectives of the study
1.4 Scope of the study
1.5 Limitation of the study
CHAPTER TWO: LITERATURE REVIEW
2.1 Literature Review
2.2 Role of central motor registry in generating Revenues of state government.
2.3 Sources of data
CHAPTER THREE: RESEARCH METHODOLOGY
3.1 Regression Analysis
3.1.1 Simple linear regression
3.1.2 Least square estimation
3.2 Analysis of variance (ANOVA)
CHAPTER FOUR: ANALYSIS OF DATA
4.2 Analysis of variance
4.3 Regression analysis
CHAPTER FIVE: SUMMARY OF FINDING, CONCUSION AND RECOMMENDATION
5.1 Summary of findings
One of the main functions of any organization is planning for the future. Before any business and economic planning is to be successful, one must take the responsibility of looking ahead and predict or forecast for the future. This is the basic concept of the time series analysis.
Time series (Xt) is a set of observation made sequentially in time. This time series is of great value in economic business studies. It also helps in evaluating present accomplishment to predict future operation and it greatly assist in planning different variable facilities their comparison. The four component of the composite force which shape series in its movement through time series include; calendar variation, price changes, population changes and other miscellaneous change.
In this project, we are going to identify variation in the data collected from state motor registry i.e. variation which occurs between the figure and to suggest that is to be done prior to the outcome of our findings
1.2 SIGNIFICANCE OF THE STUDY
General motor registry is an important department under board of internal revenue. It is important because of the fund its generated to the purse of the state government. This is achieved various registration been carried out on its behalf by the ministry of licenses area office which are done on various motorcycles. Thus the funds realized are channel to the state government purse to meet up with some of its social responsibility to its citizenry.
The study is to show the effectiveness of the office on motorcycle registration viz: commercial and private motorcycle.
It also show more light on some fact that would be useful in citing of M.L.A office in Kwara state.
1.3 AIM AND OBJECTIVES OF THE STUDY
The objectives of the study include the following
(a) To test whether there is significant difference among the mode of registration.
(b) To predict future registration for the three mode of registration.
1.4 SCOPE OF THE STUDY
There are other organization that deals with registration of motorcycle like federal road safety commission (under central motor registry).
The data used were extracted from central motor registry on commercial, government and private motorcycle from the year 2003 – 2011.
1.5 LIMITATION OF THE STUDY
The accuracy of the final result of this study might be affected by a number of limitations which are unavoidable. Some of these limitations are;
i. Resources constraints
ii. Method of data collection
i. Resources constraints: This is a factor that initiate against the production of an in-depth research into a topical issues like this, thus the study is conducted at the headquarter of the motor licensing office.
ii. Method of Data Collection: The most important limitation is the method of data collection. Since the data used are secondary (Data obtained from record of the organization) one is not sure of its accuracy. It is subjected to any criticism of secondary data..